queries_PRL_Nature_Science_PNAS_etc.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import sys\n",
    "import pickle\n",
    "import gzip\n",
    "import os,glob\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import operator\n",
    "import random\n",
    "from  scipy import stats\n",
    "#sys.path\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "import datetime\n",
    "import math\n",
    "import time\n",
    "import itertools\n",
    "\n",
    "\n",
    "from pymongo import MongoClient\n",
    "\n",
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from plotly import tools\n",
    "import plotly.figure_factory as ff\n",
    "\n",
    "\n",
    "########## to be able to plot offline (without sending the plots to the plotly server every time)\n",
    "import plotly.offline as offline\n",
    "from plotly.graph_objs import *\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "\n",
    "init_notebook_mode(connected=True)\n",
    "################\n",
    "\n",
    "\n",
    "\n",
    "from IPython.core.display import display,HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))  # to make the notebook use the entire width of the browser\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "class MongoConnection(object):\n",
    "    def __init__(self, cxnSettings, **kwargs):\n",
    "        self.settings = cxnSettings\n",
    "        self.mongoURI = self._constructURI()\n",
    "        self.connect(**kwargs)\n",
    "        self.ensure_index()\n",
    "\n",
    "    def _constructURI(self):\n",
    "        '''\n",
    "        Construct the mongo URI\n",
    "        '''\n",
    "        mongoURI = 'mongodb://'\n",
    "        #User/password handling\n",
    "        if 'user'in self.settings and 'password' in self.settings:\n",
    "            mongoURI += self.settings['user'] + ':' + self.settings['password']\n",
    "            mongoURI += '@'\n",
    "        elif 'user' in self.settings:\n",
    "            print('Missing password for given user, proceeding without either')\n",
    "        elif 'password' in self.settings:\n",
    "            print('Missing user for given passord, proceeding without either')\n",
    "        #Host and port\n",
    "        try:\n",
    "            mongoURI += self.settings['host'] + ':'\n",
    "        except KeyError:\n",
    "            print('Missing the hostname. Cannot connect without host')\n",
    "            sys.exit()\n",
    "        try:\n",
    "            mongoURI += str(self.settings['port'])\n",
    "        except KeyError:\n",
    "            print('Missing the port. Substituting default port of 27017')\n",
    "            mongoURI += str('27017')\n",
    "        return mongoURI\n",
    "\n",
    "    def connect(self, **kwargs):\n",
    "        '''\n",
    "        Establish the connection, database, and collection\n",
    "        '''\n",
    "        self.connection = MongoClient(self.mongoURI, **kwargs)\n",
    "        #########\n",
    "        try:\n",
    "            self.db = self.connection[self.settings['db']]\n",
    "        except KeyError:\n",
    "            print(\"Must specify a database as a 'db' key in the settings file\")\n",
    "            sys.exit()\n",
    "        #########\n",
    "        try:\n",
    "            self.collection = self.db[self.settings['collection']]\n",
    "        except KeyError:\n",
    "            print('Should have a collection.', end='')\n",
    "            print('Starting a collection in database', end='')\n",
    "            print(' for current connection as test.')\n",
    "            self.collection = self.db['test']\n",
    "\n",
    "    def tearDown(self):\n",
    "        '''\n",
    "        Closes the connection\n",
    "        '''\n",
    "        self.connection.close()\n",
    "\n",
    "    def ensure_index(self):\n",
    "        '''\n",
    "        Ensures the connection has all given indexes.\n",
    "        indexes: list of (`key`, `direction`) pairs.\n",
    "            See docs.mongodb.org/manual/core/indexes/ for possible `direction`\n",
    "            values.\n",
    "        '''\n",
    "        if 'indexes' in self.settings:\n",
    "            for index in self.settings['indexes']:\n",
    "                self.collection.ensure_index(index[0], **index[1])\n",
    "\n",
    "\n",
    "\n",
    "#############################\n",
    "\n",
    "merged_papers_settings = {\n",
    "    \"host\": \"chicago.chem-eng.northwestern.edu\",\n",
    "    \"port\": \"27017\",\n",
    "    \"db\": \"web_of_science_aux\",\n",
    "    \"collection\": \"merged_papers\",\n",
    "    \"user\": \"mongoreader\",\n",
    "    \"password\": \"emptycoffeecup\"\n",
    "}\n",
    "\n",
    "papers_con = MongoConnection(merged_papers_settings)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#############################\n",
    "\n",
    "dais_settings = {\n",
    "    \"host\": \"chicago.chem-eng.northwestern.edu\",\n",
    "    \"port\": \"27017\",\n",
    "    \"db\": \"web_of_science_aux\",\n",
    "    \"collection\": \"ut_dais_all\",\n",
    "    \"user\": \"mongoreader\",\n",
    "    \"password\": \"emptycoffeecup\"\n",
    "}\n",
    "\n",
    "dais_con = MongoConnection(dais_settings)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# cursor = papers_con.collection.find({\"UT\":\"000207443600011\"})  \n",
    "# for s in cursor:\n",
    "#     print(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# lista = [\"000276541900005\"]  # i manually searched this paper from PRL using their website + WoS website\n",
    "\n",
    "# cursor = papers_con.collection.find({\"UT\":{\"$in\":lista}},{\"UT\":1,\"issue\":1})  \n",
    "\n",
    "\n",
    "\n",
    "# for item in cursor:  # query (cursor) is an iterator (once i iterate over it once, it is empty), and every item is a dict\n",
    "#     print (item, item['issue']['J1'])\n",
    "    \n",
    "# #     UT=item[\"UT\"]\n",
    "# #     try:\n",
    "# #         list_subjects=item['plos_categories']\n",
    "# #         cont_found_categ +=1\n",
    "# #     except KeyError:\n",
    "# #         list_subjects =[]\n",
    "# #     dict_UT_plos_categ[UT]=list_subjects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "selecting papers from: JTB  .......\n",
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      "\n",
      "\n",
      "done collecting the 1340 records. Dumping dict.....\n",
      "written: ../data/dict_JTB_UT_info_year1990_1995_any_num_cit.pkl\n"
     ]
    }
   ],
   "source": [
    "\n",
    "label_journal = 'JTB'#     #  PRL    PRE  NATURE     PNAS  SCIENCE     JTB\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### for restricting the publication year of a JOURNAL\n",
    "lista_years =[1990,1991,1992,1993,1994,1995]\n",
    "#year = 2001\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "    \n",
    "    \n",
    "    \n",
    "\n",
    "#cursor = papers_con.collection.find( { \"issue.J1\" :\"PHYS REV L\", \"issue.PY\" :{\"$in\":lista_years}}, {\"UT\":1,\"issue\":1,'citations':1,'CR':1})#.limit(1000) \n",
    "#cursor = papers_con.collection.find( { \"issue.J1\" :\"PHYS REV L\", \"issue.PY\" :year}, {\"UT\":1,\"issue\":1,'citations':1,'CR':1})#.limit(1000) \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "############################\n",
    "# ISSN is the issn number assigned to each unique journal, and it is also an INDEX in the db, so the search is faster!!!!\n",
    "# def: 'The ISSN is the international standardized code which identifies all serials, \n",
    "#   journals, magazines, periodicals irrespective of their medium (print or electronic) '\n",
    "\n",
    "#PRL:  ISSN 0031-9007 (for print).,   1079-7114 (for online, BUT THERE ARE NONE WITH THIS SN IN OUR DB)\n",
    "# PRE:   ISSN    ['1539-3755' , '2470-0045',  '1063-651X']    # 1993-2015, then later than 2015, and plasma\n",
    "#Science. ISSN 0036-8075 (print), 1095-9203 (for online, BUT THERE ARE NONE WITH THIS SN IN OUR DB)\n",
    "# NATURE: ISSN  0028-0836 (print) 1476-4687 (for online, BUT THERE ARE NONE WITH THIS SN IN OUR DB)\n",
    "#  PNAS ISSN  0027-8424 (print)           1091-6490 (web).\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "if label_journal == 'NATURE' :\n",
    "    issn = '0028-0836'\n",
    "    \n",
    "elif label_journal == 'SCIENCE' :\n",
    "    issn = '0036-8075'\n",
    "    \n",
    "elif label_journal == 'PNAS' :\n",
    "    issn = '0027-8424'\n",
    "    \n",
    "elif label_journal == 'PRL' :\n",
    "    issn = '0031-9007'\n",
    "    \n",
    "elif label_journal == 'PRE' :    \n",
    "    lista_issn = ['1539-3755' , '2470-0045',  '1063-651X']   # for: 1993-2015, then later than 2015, and plasma, respectively\n",
    "                                                            ### see https://librarians.aps.org/issn\n",
    "    \n",
    "elif label_journal == 'JTB' :\n",
    "    issn = '0022-5193'\n",
    "    \n",
    "            \n",
    "    \n",
    "    \n",
    "print ('selecting papers from:', label_journal,\" .......\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    " \n",
    "if label_journal == 'PRE' :  # because this journal has multiple issn numbers\n",
    "    \n",
    "    cursor = papers_con.collection.find({'issue.SN':{\"$in\":lista_issn},\"issue.PY\" :{\"$in\":lista_years}})\n",
    "else:\n",
    "    cursor = papers_con.collection.find({'issue.SN':issn,\"issue.PY\" :{\"$in\":lista_years}})\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "\n",
    "master_dict_JOURNAL_UT_info={}\n",
    "cont = 1\n",
    "\n",
    "\n",
    "\n",
    "# CR: list of references in the paper\n",
    "# citations:   cites received by the paper\n",
    "# DT: type of paper       '@ Article'   or   'L Letter'\n",
    "\n",
    "for item in cursor:  # query (cursor) is an iterator (once i iterate over it once, it is empty), and every item is a dict\n",
    "    \n",
    "    \n",
    "    \n",
    "    type_paper = item['DT']\n",
    "    if (type_paper == '@ Article') or ( type_paper ==  'L Letter'):  #  i only care about articles and letters!\n",
    "    \n",
    "    \n",
    "        UT=str(item[\"UT\"])\n",
    "\n",
    "\n",
    "        try:\n",
    "            list_cit = item[\"citations\"]\n",
    "        except KeyError:\n",
    "            list_cit=[]\n",
    "\n",
    "\n",
    "\n",
    "        try:    \n",
    "            num_ref = len(item[\"CR\"])\n",
    "        except KeyError:\n",
    "            num_ref = 0\n",
    "\n",
    "\n",
    "        year = item['issue']['PY']\n",
    "\n",
    "\n",
    "\n",
    "        print (cont)#,  UT,title, item['issue']['J1'],year, num_ref, list_cit, len(list_cit), \"\\n\")\n",
    "\n",
    "        master_dict_JOURNAL_UT_info[UT]={}\n",
    "        master_dict_JOURNAL_UT_info[UT]['year']=year\n",
    "        master_dict_JOURNAL_UT_info[UT]['list_cit']=list_cit\n",
    "        master_dict_JOURNAL_UT_info[UT]['num_ref']=num_ref\n",
    "        \n",
    "    else:\n",
    "        print (\" \", type_paper)\n",
    "        \n",
    "    cont  +=1\n",
    "\n",
    "        \n",
    "print ('\\n\\ndone collecting the',len(master_dict_JOURNAL_UT_info),'records. Dumping dict.....')\n",
    "\n",
    "\n",
    "with open('../data/dict_'+label_journal+'_UT_info_year'+str(lista_years[0])+'_'+str(lista_years[-1])+'_any_num_cit.pkl', 'wb') as handle:\n",
    "     pickle.dump(master_dict_JOURNAL_UT_info, handle, protocol = 2)\n",
    "print (\"written:\",'../data/dict_'+label_journal+'_UT_info_year'+str(lista_years[0])+'_'+str(lista_years[-1])+'_any_num_cit.pkl')  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UTs of papers with more than 170  citations:   22\n",
      "UTs of papers with around [55, 75]  citations:   63\n",
      "UTs of papers with around [5, 15]  citations:   441\n",
      "written: ../data/list_top_UTs1990_1995_JTB_170.pkl\n",
      "written: ../data/list_intermediate_UTs1990_1995_JTB_55_75.pkl\n",
      "written: ../data/list_low_UTs1990_1995_JTB_5_15.pkl\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#print (sorted(lista_num_cit))\n",
    "# #print (len(lista_num_cit))\n",
    "# list_q = [0,10, 25,50,75,90, 95,100]\n",
    "# for q in list_q:\n",
    "#     print (q, np.percentile(lista_num_cit,q)) # gives the q-th percentile\n",
    "    \n",
    "                    \n",
    "    \n",
    "value_top = 1000            #   SAME VALUE FOR PNAS AND PRL  (1000),   SAME VALUE FOR NATURE AND SCIENCE (2000)    \n",
    "interval_intermediate=[95,105]    \n",
    "interval_low=[10,20]    \n",
    "\n",
    "\n",
    "if label_journal == 'NATURE'  or label_journal == 'SCIENCE':\n",
    "    value_top = 2000       \n",
    "\n",
    "# elif label_journal == 'PNAS'  or label_journal == 'PRL':\n",
    "#     value_top = 1000   \n",
    "\n",
    "    \n",
    "elif label_journal == 'PRE':\n",
    "    value_top = 250    \n",
    "    interval_intermediate=[45,55]    \n",
    "    interval_low=[4,14]  # 1,4    \n",
    "   \n",
    "\n",
    "elif label_journal == 'JTB':\n",
    "    value_top = 170    \n",
    "    interval_intermediate=[55,75]    \n",
    "    interval_low=[5,15]     \n",
    "   \n",
    "  \n",
    "    \n",
    "    \n",
    "list_top_UTs=[]    \n",
    "list_intermediate_UTs=[]  \n",
    "list_low_UTs=[] \n",
    "for UT in master_dict_JOURNAL_UT_info:\n",
    "    \n",
    "    num_cit = len(master_dict_JOURNAL_UT_info[UT]['list_cit'])\n",
    "    \n",
    "    if num_cit >= value_top:\n",
    "        list_top_UTs.append(UT)\n",
    "        \n",
    "    if (num_cit >= interval_intermediate[0])   and (num_cit <= interval_intermediate[-1]):\n",
    "        list_intermediate_UTs.append(UT)\n",
    "       \n",
    "    if (num_cit >= interval_low[0])         and      (num_cit <= interval_low[-1]):\n",
    "        list_low_UTs.append(UT)\n",
    "       \n",
    "   \n",
    "        \n",
    "\n",
    "print ('UTs of papers with more than', value_top,' citations:  ', len(list_top_UTs))\n",
    "print ('UTs of papers with around', interval_intermediate,' citations:  ', len(list_intermediate_UTs))\n",
    "print ('UTs of papers with around', interval_low,' citations:  ', len(list_low_UTs))\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "with open('../data/list_top_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'_'+str(value_top)+'.pkl', 'wb') as handle:\n",
    "     pickle.dump(list_top_UTs, handle, protocol = 2)\n",
    "print (\"written:\",'../data/list_top_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'_'+str(value_top)+'.pkl')  \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "with open('../data/list_intermediate_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'_'+str(interval_intermediate[0])+'_'+str(interval_intermediate[-1])+'.pkl', 'wb') as handle:\n",
    "     pickle.dump(list_intermediate_UTs, handle, protocol = 2)\n",
    "print (\"written:\",'../data/list_intermediate_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'_'+str(interval_intermediate[0])+'_'+str(interval_intermediate[-1])+'.pkl')  \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "with open('../data/list_low_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'_'+str(interval_low[0])+'_'+str(interval_low[-1])+'.pkl', 'wb') as handle:\n",
    "     pickle.dump(list_low_UTs, handle, protocol = 2)\n",
    "print (\"written:\",'../data/list_low_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'_'+str(interval_low[0])+'_'+str(interval_low[-1])+'.pkl')  \n",
    "         "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of papers selected from the JOURNAL top :  22\n",
      "number of papers that cite the papers from the selected top JOURNAL: 7972\n",
      "  number of papers that cite the papers from the selected top JOURNAL (no repetitions): 7689\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  E Editorial Material\n",
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      "  E Editorial Material\n",
      "  E Editorial Material\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
      "  M Meeting Abstract\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  E Editorial Material\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
      "  R Review\n",
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      "  R Review\n",
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      "3197\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "3277\n",
      "  R Review\n",
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      "3284\n",
      "  R Review\n",
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      "3289\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "3307\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "3333\n",
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      "  E Editorial Material\n",
      "  R Review\n",
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      "3350\n",
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      "3356\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "  R Review\n",
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      "3550\n",
      "  R Review\n",
      "  R Review\n",
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      "  R Review\n",
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      "3585\n",
      "  R Review\n",
      "  R Review\n",
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      "3589\n",
      "  R Review\n",
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      "3592\n",
      "  R Review\n",
      "3594\n",
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      "3597\n",
      "3598\n",
      "  R Review\n",
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      "  R Review\n",
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      "3624\n",
      "  R Review\n",
      "3626\n",
      "  R Review\n",
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      "3629\n",
      "  R Review\n",
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      "3632\n",
      "  R Review\n",
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      "3640\n",
      "  R Review\n",
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      "3647\n",
      "  R Review\n",
      "3649\n",
      "  R Review\n",
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      "3672\n",
      "  R Review\n",
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      "  R Review\n",
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      "3678\n",
      "3679\n",
      "3680\n",
      "3681\n",
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      "3683\n",
      "  R Review\n",
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      "3689\n",
      "3690\n",
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      "3695\n",
      "  R Review\n",
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      "3700\n",
      "  R Review\n",
      "3702\n",
      "3703\n",
      "  R Review\n",
      "  R Review\n",
      "3706\n",
      "3707\n",
      "3708\n",
      "3709\n",
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      "3711\n",
      "3712\n",
      "  R Review\n",
      "  R Review\n",
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      "3716\n",
      "  R Review\n",
      "3718\n",
      "3719\n",
      "3720\n",
      "  R Review\n",
      "  R Review\n",
      "3723\n",
      "  R Review\n",
      "3725\n",
      "3726\n",
      "3727\n",
      "  R Review\n",
      "3729\n",
      "  R Review\n",
      "3731\n",
      "3732\n",
      "3733\n",
      "3734\n",
      "3735\n",
      "3736\n",
      "3737\n",
      "  R Review\n",
      "3739\n",
      "  R Review\n",
      "  R Review\n",
      "3742\n",
      "3743\n",
      "3744\n",
      "3745\n",
      "3746\n",
      "3747\n",
      "3748\n",
      "  B Book Review\n",
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      "3763\n",
      "  R Review\n",
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      "3771\n",
      "3772\n",
      "3773\n",
      "3774\n",
      "3775\n",
      "3776\n",
      "3777\n",
      "  R Review\n",
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      "3780\n",
      "3781\n",
      "3782\n",
      "3783\n",
      "3784\n",
      "3785\n",
      "3786\n",
      "3787\n",
      "  R Review\n",
      "3789\n",
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      "3791\n",
      "3792\n",
      "3793\n",
      "3794\n",
      "  R Review\n",
      "3796\n",
      "3797\n",
      "  R Review\n",
      "3799\n",
      "3800\n",
      "  R Review\n",
      "3802\n",
      "3803\n",
      "3804\n",
      "3805\n",
      "  R Review\n",
      "3807\n",
      "3808\n",
      "  R Review\n",
      "  R Review\n",
      "3811\n",
      "3812\n",
      "3813\n",
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      "3827\n",
      "3828\n",
      "3829\n",
      "3830\n",
      "3831\n",
      "3832\n",
      "  R Review\n",
      "3834\n",
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      "3837\n",
      "3838\n",
      "3839\n",
      "3840\n",
      "3841\n",
      "3842\n",
      "3843\n",
      "3844\n",
      "3845\n",
      "3846\n",
      "  R Review\n",
      "3848\n",
      "3849\n",
      "3850\n",
      "  R Review\n",
      "3852\n",
      "3853\n",
      "3854\n",
      "  R Review\n",
      "3856\n",
      "3857\n",
      "3858\n",
      "3859\n",
      "3860\n",
      "  R Review\n",
      "3862\n",
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      "3864\n",
      "3865\n",
      "3866\n",
      "  R Review\n",
      "3868\n",
      "3869\n",
      "3870\n",
      "  R Review\n",
      "3872\n",
      "3873\n",
      "3874\n",
      "  R Review\n",
      "  R Review\n",
      "3877\n",
      "3878\n",
      "3879\n",
      "3880\n",
      "3881\n",
      "3882\n",
      "3883\n",
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      "3885\n",
      "3886\n",
      "3887\n",
      "3888\n",
      "3889\n",
      "  R Review\n",
      "  E Editorial Material\n",
      "3892\n",
      "3893\n",
      "3894\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "3898\n",
      "3899\n",
      "3900\n",
      "3901\n",
      "  R Review\n",
      "3903\n",
      "3904\n",
      "3905\n",
      "3906\n",
      "3907\n",
      "  R Review\n",
      "3909\n",
      "3910\n",
      "3911\n",
      "3912\n",
      "3913\n",
      "3914\n",
      "3915\n",
      "3916\n",
      "3917\n",
      "  R Review\n",
      "3919\n",
      "3920\n",
      "  R Review\n",
      "  R Review\n",
      "3923\n",
      "  R Review\n",
      "3925\n",
      "  R Review\n",
      "3927\n",
      "3928\n",
      "  R Review\n",
      "3930\n",
      "3931\n",
      "3932\n",
      "3933\n",
      "3934\n",
      "3935\n",
      "3936\n",
      "3937\n",
      "3938\n",
      "3939\n",
      "3940\n",
      "  R Review\n",
      "3942\n",
      "3943\n",
      "3944\n",
      "3945\n",
      "3946\n",
      "3947\n",
      "3948\n",
      "3949\n",
      "  R Review\n",
      "3951\n",
      "3952\n",
      "3953\n",
      "  R Review\n",
      "  R Review\n",
      "3956\n",
      "3957\n",
      "3958\n",
      "3959\n",
      "  R Review\n",
      "3961\n",
      "3962\n",
      "3963\n",
      "3964\n",
      "3965\n",
      "3966\n",
      "3967\n",
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      "3973\n",
      "3974\n",
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      "3978\n",
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      "3980\n",
      "3981\n",
      "3982\n",
      "3983\n",
      "3984\n",
      "3985\n",
      "  R Review\n",
      "3987\n",
      "3988\n",
      "3989\n",
      "3990\n",
      "3991\n",
      "3992\n",
      "3993\n",
      "3994\n",
      "  R Review\n",
      "3996\n",
      "3997\n",
      "  R Review\n",
      "  R Review\n",
      "4000\n",
      "4001\n",
      "4002\n",
      "4003\n",
      "4004\n",
      "4005\n",
      "4006\n",
      "4007\n",
      "4008\n",
      "4009\n",
      "4010\n",
      "  R Review\n",
      "4012\n",
      "4013\n",
      "4014\n",
      "4015\n",
      "4016\n",
      "4017\n",
      "4018\n",
      "4019\n",
      "4020\n",
      "4021\n",
      "4022\n",
      "  R Review\n",
      "4024\n",
      "4025\n",
      "4026\n",
      "4027\n",
      "4028\n",
      "4029\n",
      "4030\n",
      "4031\n",
      "4032\n",
      "4033\n",
      "4034\n",
      "4035\n",
      "4036\n",
      "  R Review\n",
      "4038\n",
      "4039\n",
      "4040\n",
      "4041\n",
      "4042\n",
      "4043\n",
      "4044\n",
      "4045\n",
      "4046\n",
      "4047\n",
      "4048\n",
      "4049\n",
      "4050\n",
      "  R Review\n",
      "4052\n",
      "4053\n",
      "4054\n",
      "4055\n",
      "4056\n",
      "4057\n",
      "4058\n",
      "4059\n",
      "4060\n",
      "4061\n",
      "4062\n",
      "  R Review\n",
      "4064\n",
      "4065\n",
      "4066\n",
      "  R Review\n",
      "4068\n",
      "4069\n",
      "4070\n",
      "4071\n",
      "4072\n",
      "4073\n",
      "  R Review\n",
      "4075\n",
      "4076\n",
      "4077\n",
      "4078\n",
      "4079\n",
      "4080\n",
      "4081\n",
      "4082\n",
      "4083\n",
      "4084\n",
      "4085\n",
      "4086\n",
      "4087\n",
      "4088\n",
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      "4090\n",
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      "4092\n",
      "4093\n",
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      "4095\n",
      "4096\n",
      "4097\n",
      "4098\n",
      "4099\n",
      "4100\n",
      "4101\n",
      "4102\n",
      "  R Review\n",
      "4104\n",
      "4105\n",
      "4106\n",
      "4107\n",
      "4108\n",
      "4109\n",
      "4110\n",
      "4111\n",
      "4112\n",
      "4113\n",
      "4114\n",
      "4115\n",
      "4116\n",
      "4117\n",
      "  R Review\n",
      "4119\n",
      "4120\n",
      "4121\n",
      "4122\n",
      "4123\n",
      "4124\n",
      "4125\n",
      "4126\n",
      "4127\n",
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      "4129\n",
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      "4131\n",
      "4132\n",
      "4133\n",
      "4134\n",
      "4135\n",
      "4136\n",
      "4137\n",
      "4138\n",
      "  R Review\n",
      "4140\n",
      "4141\n",
      "4142\n",
      "4143\n",
      "4144\n",
      "4145\n",
      "4146\n",
      "4147\n",
      "4148\n",
      "4149\n",
      "4150\n",
      "4151\n",
      "4152\n",
      "4153\n",
      "4154\n",
      "4155\n",
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      "4157\n",
      "4158\n",
      "4159\n",
      "4160\n",
      "4161\n",
      "4162\n",
      "4163\n",
      "4164\n",
      "4165\n",
      "4166\n",
      "4167\n",
      "4168\n",
      "4169\n",
      "  R Review\n",
      "4171\n",
      "4172\n",
      "4173\n",
      "4174\n",
      "4175\n",
      "4176\n",
      "4177\n",
      "4178\n",
      "4179\n",
      "4180\n",
      "4181\n",
      "4182\n",
      "4183\n",
      "4184\n",
      "4185\n",
      "4186\n",
      "4187\n",
      "4188\n",
      "4189\n",
      "4190\n",
      "4191\n",
      "4192\n",
      "4193\n",
      "  R Review\n",
      "  R Review\n",
      "4196\n",
      "4197\n",
      "4198\n",
      "4199\n",
      "4200\n",
      "4201\n",
      "  R Review\n",
      "4203\n",
      "4204\n",
      "4205\n",
      "4206\n",
      "4207\n",
      "4208\n",
      "4209\n",
      "4210\n",
      "4211\n",
      "4212\n",
      "4213\n",
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      "4215\n",
      "4216\n",
      "4217\n",
      "4218\n",
      "4219\n",
      "4220\n",
      "4221\n",
      "  R Review\n",
      "4223\n",
      "4224\n",
      "4225\n",
      "  R Review\n",
      "4227\n",
      "4228\n",
      "4229\n",
      "4230\n",
      "4231\n",
      "  R Review\n",
      "4233\n",
      "4234\n",
      "4235\n",
      "4236\n",
      "4237\n",
      "4238\n",
      "4239\n",
      "4240\n",
      "4241\n",
      "4242\n",
      "4243\n",
      "4244\n",
      "4245\n",
      "4246\n",
      "4247\n",
      "4248\n",
      "4249\n",
      "4250\n",
      "4251\n",
      "  6 Reprint\n",
      "4253\n",
      "  R Review\n",
      "4255\n",
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      "6059\n",
      "6060\n",
      "6061\n",
      "6062\n",
      "6063\n",
      "6064\n",
      "  R Review\n",
      "6066\n",
      "  R Review\n",
      "6068\n",
      "6069\n",
      "6070\n",
      "6071\n",
      "6072\n",
      "  R Review\n",
      "6074\n",
      "6075\n",
      "6076\n",
      "6077\n",
      "6078\n",
      "6079\n",
      "6080\n",
      "  R Review\n",
      "6082\n",
      "6083\n",
      "6084\n",
      "6085\n",
      "6086\n",
      "6087\n",
      "6088\n",
      "6089\n",
      "6090\n",
      "6091\n",
      "6092\n",
      "  E Editorial Material\n",
      "6094\n",
      "6095\n",
      "6096\n",
      "6097\n",
      "6098\n",
      "6099\n",
      "6100\n",
      "6101\n",
      "6102\n",
      "6103\n",
      "6104\n",
      "6105\n",
      "6106\n",
      "  R Review\n",
      "6108\n",
      "6109\n",
      "6110\n",
      "6111\n",
      "6112\n",
      "6113\n",
      "6114\n",
      "6115\n",
      "6116\n",
      "6117\n",
      "6118\n",
      "6119\n",
      "6120\n",
      "  R Review\n",
      "  R Review\n",
      "6123\n",
      "6124\n",
      "  R Review\n",
      "6126\n",
      "6127\n",
      "6128\n",
      "6129\n",
      "6130\n",
      "  R Review\n",
      "6132\n",
      "6133\n",
      "6134\n",
      "6135\n",
      "6136\n",
      "6137\n",
      "6138\n",
      "6139\n",
      "6140\n",
      "6141\n",
      "6142\n",
      "  R Review\n",
      "  R Review\n",
      "6145\n",
      "6146\n",
      "6147\n",
      "6148\n",
      "6149\n",
      "6150\n",
      "6151\n",
      "6152\n",
      "6153\n",
      "6154\n",
      "6155\n",
      "  R Review\n",
      "6157\n",
      "6158\n",
      "6159\n",
      "6160\n",
      "6161\n",
      "6162\n",
      "  R Review\n",
      "6164\n",
      "6165\n",
      "6166\n",
      "6167\n",
      "6168\n",
      "6169\n",
      "6170\n",
      "  R Review\n",
      "6172\n",
      "6173\n",
      "6174\n",
      "6175\n",
      "6176\n",
      "6177\n",
      "6178\n",
      "6179\n",
      "6180\n",
      "  R Review\n",
      "6182\n",
      "6183\n",
      "6184\n",
      "6185\n",
      "6186\n",
      "  R Review\n",
      "  R Review\n",
      "6189\n",
      "6190\n",
      "6191\n",
      "6192\n",
      "6193\n",
      "6194\n",
      "6195\n",
      "6196\n",
      "6197\n",
      "6198\n",
      "6199\n",
      "6200\n",
      "6201\n",
      "6202\n",
      "6203\n",
      "6204\n",
      "6205\n",
      "6206\n",
      "6207\n",
      "6208\n",
      "6209\n",
      "6210\n",
      "6211\n",
      "6212\n",
      "6213\n",
      "  R Review\n",
      "6215\n",
      "6216\n",
      "6217\n",
      "6218\n",
      "6219\n",
      "6220\n",
      "  R Review\n",
      "6222\n",
      "6223\n",
      "6224\n",
      "  R Review\n",
      "6226\n",
      "6227\n",
      "6228\n",
      "6229\n",
      "6230\n",
      "  R Review\n",
      "6232\n",
      "6233\n",
      "6234\n",
      "6235\n",
      "6236\n",
      "6237\n",
      "6238\n",
      "6239\n",
      "6240\n",
      "6241\n",
      "6242\n",
      "6243\n",
      "  R Review\n",
      "6245\n",
      "  R Review\n",
      "6247\n",
      "6248\n",
      "6249\n",
      "6250\n",
      "6251\n",
      "6252\n",
      "6253\n",
      "6254\n",
      "6255\n",
      "  R Review\n",
      "6257\n",
      "6258\n",
      "6259\n",
      "6260\n",
      "6261\n",
      "  E Editorial Material\n",
      "6263\n",
      "6264\n",
      "6265\n",
      "6266\n",
      "6267\n",
      "6268\n",
      "6269\n",
      "6270\n",
      "6271\n",
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      "6273\n",
      "6274\n",
      "6275\n",
      "6276\n",
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      "6278\n",
      "6279\n",
      "6280\n",
      "6281\n",
      "6282\n",
      "6283\n",
      "6284\n",
      "6285\n",
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      "6288\n",
      "6289\n",
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      "6291\n",
      "6292\n",
      "6293\n",
      "6294\n",
      "6295\n",
      "6296\n",
      "6297\n",
      "6298\n",
      "6299\n",
      "6300\n",
      "6301\n",
      "6302\n",
      "6303\n",
      "6304\n",
      "6305\n",
      "6306\n",
      "6307\n",
      "6308\n",
      "6309\n",
      "6310\n",
      "6311\n",
      "6312\n",
      "6313\n",
      "6314\n",
      "6315\n",
      "6316\n",
      "6317\n",
      "6318\n",
      "6319\n",
      "6320\n",
      "  R Review\n",
      "6322\n",
      "6323\n",
      "  R Review\n",
      "6325\n",
      "6326\n",
      "6327\n",
      "  R Review\n",
      "  R Review\n",
      "6330\n",
      "6331\n",
      "6332\n",
      "6333\n",
      "  R Review\n",
      "6335\n",
      "6336\n",
      "6337\n",
      "6338\n",
      "6339\n",
      "6340\n",
      "6341\n",
      "6342\n",
      "6343\n",
      "6344\n",
      "6345\n",
      "6346\n",
      "  R Review\n",
      "6348\n",
      "6349\n",
      "6350\n",
      "6351\n",
      "6352\n",
      "6353\n",
      "6354\n",
      "6355\n",
      "6356\n",
      "6357\n",
      "6358\n",
      "6359\n",
      "6360\n",
      "6361\n",
      "6362\n",
      "6363\n",
      "  R Review\n",
      "6365\n",
      "6366\n",
      "6367\n",
      "6368\n",
      "6369\n",
      "6370\n",
      "6371\n",
      "6372\n",
      "6373\n",
      "6374\n",
      "6375\n",
      "6376\n",
      "6377\n",
      "6378\n",
      "6379\n",
      "  R Review\n",
      "6381\n",
      "6382\n",
      "  E Editorial Material\n",
      "6384\n",
      "6385\n",
      "6386\n",
      "6387\n",
      "6388\n",
      "6389\n",
      "6390\n",
      "6391\n",
      "6392\n",
      "6393\n",
      "6394\n",
      "6395\n",
      "6396\n",
      "6397\n",
      "6398\n",
      "6399\n",
      "6400\n",
      "6401\n",
      "6402\n",
      "6403\n",
      "6404\n",
      "6405\n",
      "6406\n",
      "6407\n",
      "6408\n",
      "6409\n",
      "6410\n",
      "6411\n",
      "  R Review\n",
      "6413\n",
      "6414\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "6418\n",
      "6419\n",
      "6420\n",
      "6421\n",
      "6422\n",
      "6423\n",
      "6424\n",
      "6425\n",
      "6426\n",
      "6427\n",
      "6428\n",
      "6429\n",
      "6430\n",
      "6431\n",
      "6432\n",
      "6433\n",
      "6434\n",
      "6435\n",
      "  R Review\n",
      "6437\n",
      "6438\n",
      "6439\n",
      "6440\n",
      "6441\n",
      "6442\n",
      "6443\n",
      "6444\n",
      "6445\n",
      "6446\n",
      "6447\n",
      "6448\n",
      "6449\n",
      "6450\n",
      "6451\n",
      "6452\n",
      "6453\n",
      "6454\n",
      "6455\n",
      "6456\n",
      "6457\n",
      "6458\n",
      "6459\n",
      "6460\n",
      "6461\n",
      "6462\n",
      "6463\n",
      "6464\n",
      "6465\n",
      "6466\n",
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      "6468\n",
      "6469\n",
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      "6471\n",
      "6472\n",
      "6473\n",
      "6474\n",
      "6475\n",
      "6476\n",
      "6477\n",
      "6478\n",
      "6479\n",
      "6480\n",
      "6481\n",
      "6482\n",
      "6483\n",
      "6484\n",
      "  R Review\n",
      "  R Review\n",
      "6487\n",
      "6488\n",
      "6489\n",
      "6490\n",
      "6491\n",
      "  R Review\n",
      "6493\n",
      "6494\n",
      "  R Review\n",
      "6496\n",
      "6497\n",
      "  R Review\n",
      "6499\n",
      "6500\n",
      "6501\n",
      "6502\n",
      "6503\n",
      "6504\n",
      "6505\n",
      "6506\n",
      "6507\n",
      "6508\n",
      "6509\n",
      "6510\n",
      "6511\n",
      "6512\n",
      "6513\n",
      "6514\n",
      "6515\n",
      "6516\n",
      "6517\n",
      "6518\n",
      "6519\n",
      "6520\n",
      "6521\n",
      "6522\n",
      "6523\n",
      "6524\n",
      "  I Biographical-Item\n",
      "6526\n",
      "6527\n",
      "6528\n",
      "6529\n",
      "6530\n",
      "6531\n",
      "6532\n",
      "6533\n",
      "  R Review\n",
      "6535\n",
      "6536\n",
      "  R Review\n",
      "6538\n",
      "6539\n",
      "6540\n",
      "6541\n",
      "6542\n",
      "6543\n",
      "6544\n",
      "6545\n",
      "6546\n",
      "6547\n",
      "6548\n",
      "  R Review\n",
      "  R Review\n",
      "6551\n",
      "6552\n",
      "6553\n",
      "  R Review\n",
      "6555\n",
      "6556\n",
      "6557\n",
      "6558\n",
      "  R Review\n",
      "6560\n",
      "6561\n",
      "6562\n",
      "6563\n",
      "6564\n",
      "6565\n",
      "6566\n",
      "6567\n",
      "  R Review\n",
      "  R Review\n",
      "6570\n",
      "6571\n",
      "6572\n",
      "  R Review\n",
      "6574\n",
      "6575\n",
      "6576\n",
      "  R Review\n",
      "6578\n",
      "6579\n",
      "6580\n",
      "6581\n",
      "6582\n",
      "6583\n",
      "  R Review\n",
      "6585\n",
      "  R Review\n",
      "6587\n",
      "6588\n",
      "6589\n",
      "6590\n",
      "6591\n",
      "6592\n",
      "6593\n",
      "6594\n",
      "6595\n",
      "6596\n",
      "6597\n",
      "6598\n",
      "  R Review\n",
      "6600\n",
      "  R Review\n",
      "6602\n",
      "6603\n",
      "6604\n",
      "6605\n",
      "6606\n",
      "6607\n",
      "6608\n",
      "6609\n",
      "6610\n",
      "  R Review\n",
      "6612\n",
      "6613\n",
      "6614\n",
      "6615\n",
      "6616\n",
      "6617\n",
      "6618\n",
      "6619\n",
      "6620\n",
      "6621\n",
      "6622\n",
      "6623\n",
      "6624\n",
      "  R Review\n",
      "6626\n",
      "  R Review\n",
      "6628\n",
      "6629\n",
      "6630\n",
      "6631\n",
      "6632\n",
      "6633\n",
      "6634\n",
      "6635\n",
      "6636\n",
      "6637\n",
      "6638\n",
      "6639\n",
      "6640\n",
      "6641\n",
      "6642\n",
      "6643\n",
      "6644\n",
      "6645\n",
      "6646\n",
      "6647\n",
      "6648\n",
      "6649\n",
      "6650\n",
      "6651\n",
      "  R Review\n",
      "6653\n",
      "6654\n",
      "6655\n",
      "6656\n",
      "6657\n",
      "  R Review\n",
      "6659\n",
      "  R Review\n",
      "6661\n",
      "6662\n",
      "6663\n",
      "6664\n",
      "  R Review\n",
      "6666\n",
      "6667\n",
      "6668\n",
      "6669\n",
      "6670\n",
      "6671\n",
      "6672\n",
      "6673\n",
      "6674\n",
      "  R Review\n",
      "6676\n",
      "6677\n",
      "  E Editorial Material\n",
      "  E Editorial Material\n",
      "  R Review\n",
      "6681\n",
      "6682\n",
      "6683\n",
      "6684\n",
      "6685\n",
      "6686\n",
      "6687\n",
      "6688\n",
      "6689\n",
      "6690\n",
      "6691\n",
      "6692\n",
      "6693\n",
      "6694\n",
      "6695\n",
      "6696\n",
      "6697\n",
      "6698\n",
      "6699\n",
      "6700\n",
      "6701\n",
      "6702\n",
      "6703\n",
      "6704\n",
      "6705\n",
      "6706\n",
      "6707\n",
      "6708\n",
      "6709\n",
      "6710\n",
      "6711\n",
      "6712\n",
      "  R Review\n",
      "6714\n",
      "6715\n",
      "6716\n",
      "6717\n",
      "  R Review\n",
      "  R Review\n",
      "6720\n",
      "6721\n",
      "6722\n",
      "6723\n",
      "6724\n",
      "6725\n",
      "6726\n",
      "6727\n",
      "6728\n",
      "6729\n",
      "6730\n",
      "6731\n",
      "6732\n",
      "6733\n",
      "6734\n",
      "6735\n",
      "6736\n",
      "6737\n",
      "6738\n",
      "6739\n",
      "6740\n",
      "  R Review\n",
      "  R Review\n",
      "6743\n",
      "6744\n",
      "6745\n",
      "6746\n",
      "6747\n",
      "6748\n",
      "6749\n",
      "6750\n",
      "6751\n",
      "6752\n",
      "6753\n",
      "6754\n",
      "6755\n",
      "6756\n",
      "6757\n",
      "6758\n",
      "  R Review\n",
      "6760\n",
      "  R Review\n",
      "6762\n",
      "  R Review\n",
      "  R Review\n",
      "6765\n",
      "6766\n",
      "6767\n",
      "6768\n",
      "6769\n",
      "6770\n",
      "6771\n",
      "  N Note\n",
      "6773\n",
      "6774\n",
      "6775\n",
      "6776\n",
      "6777\n",
      "6778\n",
      "6779\n",
      "6780\n",
      "6781\n",
      "6782\n",
      "6783\n",
      "  N Note\n",
      "6785\n",
      "6786\n",
      "6787\n",
      "6788\n",
      "6789\n",
      "  N Note\n",
      "6791\n",
      "6792\n",
      "6793\n",
      "6794\n",
      "6795\n",
      "6796\n",
      "6797\n",
      "6798\n",
      "6799\n",
      "6800\n",
      "6801\n",
      "  N Note\n",
      "  R Review\n",
      "6804\n",
      "6805\n",
      "6806\n",
      "6807\n",
      "6808\n",
      "  N Note\n",
      "6810\n",
      "6811\n",
      "6812\n",
      "6813\n",
      "6814\n",
      "6815\n",
      "6816\n",
      "6817\n",
      "  R Review\n",
      "6819\n",
      "6820\n",
      "6821\n",
      "6822\n",
      "6823\n",
      "6824\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "6828\n",
      "6829\n",
      "  E Editorial Material\n",
      "6831\n",
      "6832\n",
      "6833\n",
      "6834\n",
      "  N Note\n",
      "6836\n",
      "6837\n",
      "6838\n",
      "6839\n",
      "6840\n",
      "6841\n",
      "6842\n",
      "6843\n",
      "6844\n",
      "6845\n",
      "  R Review\n",
      "6847\n",
      "6848\n",
      "6849\n",
      "  R Review\n",
      "  R Review\n",
      "6852\n",
      "  N Note\n",
      "6854\n",
      "6855\n",
      "6856\n",
      "6857\n",
      "6858\n",
      "6859\n",
      "6860\n",
      "  R Review\n",
      "6862\n",
      "6863\n",
      "6864\n",
      "6865\n",
      "6866\n",
      "6867\n",
      "6868\n",
      "6869\n",
      "6870\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "  R Review\n",
      "  E Editorial Material\n",
      "6878\n",
      "6879\n",
      "6880\n",
      "6881\n",
      "6882\n",
      "6883\n",
      "6884\n",
      "6885\n",
      "  N Note\n",
      "  N Note\n",
      "6888\n",
      "6889\n",
      "6890\n",
      "6891\n",
      "  N Note\n",
      "  R Review\n",
      "6894\n",
      "6895\n",
      "6896\n",
      "6897\n",
      "6898\n",
      "6899\n",
      "6900\n",
      "6901\n",
      "6902\n",
      "  R Review\n",
      "6904\n",
      "6905\n",
      "  R Review\n",
      "6907\n",
      "6908\n",
      "6909\n",
      "6910\n",
      "  E Editorial Material\n",
      "6912\n",
      "6913\n",
      "6914\n",
      "6915\n",
      "  N Note\n",
      "6917\n",
      "6918\n",
      "6919\n",
      "  R Review\n",
      "6921\n",
      "6922\n",
      "  N Note\n",
      "6924\n",
      "  R Review\n",
      "6926\n",
      "6927\n",
      "  R Review\n",
      "6929\n",
      "6930\n",
      "6931\n",
      "  N Note\n",
      "  R Review\n",
      "6934\n",
      "6935\n",
      "6936\n",
      "6937\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "  R Review\n",
      "  R Review\n",
      "done. 6687 dumping dict ref.......\n",
      "written: ../data/dict_citing_UT_of_selected_UT_JTB_top_info.pkl\n"
     ]
    }
   ],
   "source": [
    "##########   for selecting the top or intermediate or low JOURNAL papers\n",
    "\n",
    "\n",
    "\n",
    "label_selected = 'top'  #  top  or intermediate or low   or    random\n",
    "\n",
    "\n",
    "if label_selected == 'top':  \n",
    "    lista_UT_JOURNAL_to_look_for = list_top_UTs\n",
    "    name_dict = '../data/dict_citing_UT_of_selected_UT_'+label_journal+'_top_info.pkl'\n",
    "    \n",
    "elif label_selected == 'intermediate':  \n",
    "    lista_UT_JOURNAL_to_look_for = list_intermediate_UTs\n",
    "    name_dict = '../data/dict_citing_UT_of_selected_UT_'+label_journal+'_intermediate_info.pkl'\n",
    "    \n",
    "elif label_selected == 'low':  \n",
    "    lista_UT_JOURNAL_to_look_for = list_low_UTs\n",
    "    name_dict = '../data/dict_citing_UT_of_selected_UT_'+label_journal+'_low_info.pkl'\n",
    "    \n",
    "elif label_selected == 'random': \n",
    "    size_random_sample_papers = 500\n",
    "        \n",
    "    \n",
    "    if label_journal == 'SCIENCE'  or label_journal == 'NATURE':\n",
    "        size_random_sample_papers = 200\n",
    "    elif label_journal == 'PRL':\n",
    "        size_random_sample_papers = 500\n",
    "    elif label_journal == 'JTB':\n",
    "        size_random_sample_papers = 200\n",
    "    \n",
    "    \n",
    "    name_dict = '../data/dict_citing_UT_of_selected_UT_'+label_journal+\"_RANDOM_SAMPLE\"+str(size_random_sample_papers)+'_info.pkl'\n",
    "    lista_UT_JOURNAL_to_look_for = np.random.choice(a=list(master_dict_JOURNAL_UT_info.keys()), size=size_random_sample_papers, replace=False)\n",
    "    \n",
    "   \n",
    "\n",
    "    with open('../data/list_RANDOM_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'.pkl', 'wb') as handle:\n",
    "         pickle.dump(lista_UT_JOURNAL_to_look_for, handle, protocol = 2)\n",
    "    print (\"written:\",'../data/list_RANDOM_UTs'+str(lista_years[0])+'_'+str(lista_years[-1])+'_'+label_journal+'.pkl')  \n",
    "         \n",
    "   \n",
    "     \n",
    "    \n",
    "#      value_top = 1000   \n",
    "#     size_random_sample_papers = 500\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "list_citing_papers_of_selected_UTs = []\n",
    "print ('number of papers selected from the JOURNAL',label_selected,\": \",len(lista_UT_JOURNAL_to_look_for))\n",
    "for UT in lista_UT_JOURNAL_to_look_for:\n",
    "    list_citing_papers_of_selected_UTs += master_dict_JOURNAL_UT_info[UT]['list_cit']\n",
    "\n",
    "\n",
    "    \n",
    "print ('number of papers that cite the papers from the selected',label_selected,'JOURNAL:',len(list_citing_papers_of_selected_UTs))    \n",
    "list_citing_papers_of_selected_UTs = list(set(list_citing_papers_of_selected_UTs))\n",
    "print ('  number of papers that cite the papers from the selected',label_selected,'JOURNAL (no repetitions):',len(list_citing_papers_of_selected_UTs))  \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "cursor = papers_con.collection.find( { \"UT\" :{\"$in\":list_citing_papers_of_selected_UTs}}, {\"UT\":1,\"issue.PY\":1,'citations':1,'DT':1})\n",
    "   \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# CR: list of references in the paper\n",
    "# citations:   cites received by the paper\n",
    "# DT: type of paper     '@ Article'   or   'L Letter'\n",
    "\n",
    "\n",
    "\n",
    "dict_citing_UT_of_selected_UT_JOURNAL_info = {}\n",
    "\n",
    "cont = 1\n",
    "for item in cursor:  # query (cursor) is an iterator (once i iterate over it once, it is empty), and every item is a dict\n",
    "       \n",
    "    \n",
    "    \n",
    " \n",
    "    type_paper = item['DT']\n",
    "    if (type_paper == '@ Article') or ( type_paper ==  'L Letter'):   # i only care about articles and letters!\n",
    "\n",
    "        print (cont)\n",
    "        \n",
    "        \n",
    "        UT=str(item[\"UT\"])              \n",
    "\n",
    "        try:\n",
    "            list_cit = item[\"citations\"]\n",
    "        except KeyError:\n",
    "            list_cit=[]\n",
    "\n",
    "        year = item['issue']['PY']\n",
    "\n",
    "        dict_citing_UT_of_selected_UT_JOURNAL_info[UT]={}\n",
    "        dict_citing_UT_of_selected_UT_JOURNAL_info[UT]['year']=year\n",
    "        dict_citing_UT_of_selected_UT_JOURNAL_info[UT]['list_cit']=list_cit\n",
    "   \n",
    "    else:\n",
    "        print (\" \",item['DT'])\n",
    "        \n",
    "    cont  +=1\n",
    "    \n",
    "print (\"done.\", len(dict_citing_UT_of_selected_UT_JOURNAL_info),\"dumping dict ref.......\")    \n",
    "    \n",
    "    \n",
    " \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "    \n",
    "   \n",
    "  \n",
    "with open(name_dict, 'wb') as handle:\n",
    "     pickle.dump(dict_citing_UT_of_selected_UT_JOURNAL_info, handle, protocol = 2)\n",
    "print (\"written:\",name_dict)    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "\n",
    "    \n",
    "# number of papers that cite the top (85) SCIENCE (no repetitions):  135,831\n",
    "# number of papers that cite the intermediate (207) SCIENCE (no repetitions):   20366\n",
    "\n",
    "# number of papers that cite the top (44)             PRE : 19,165\n",
    "# number of papers that cite the intermediate (212)  PRE : 9,961\n",
    "# number of papers that cite the low (1361)          PRE : 11,654\n",
    "\n",
    "\n",
    "#PNAS low (997) number of papers that cite the papers from the selected low JOURNAL (no repetitions): 13,572"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'file:///home/staff/julia/at_Northwestern/In_Text_Citations/In-Text-Citations-New/plots/histogram_num_cit_JTB_1990_1995.html'"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### plot histograms for number of citations and number of references of the selected  JOURNAL\n",
    "\n",
    "\n",
    "lista_years =[1990,1991,1992,1993,1994,1995]\n",
    "\n",
    "lista_num_cit = []\n",
    "lista_num_ref = []\n",
    "for UT in master_dict_JOURNAL_UT_info:\n",
    "    lista_num_cit.append(len(master_dict_JOURNAL_UT_info[UT]['list_cit']))\n",
    "    lista_num_ref.append(master_dict_JOURNAL_UT_info[UT]['num_ref'])\n",
    "\n",
    "\n",
    "\n",
    "trace1= Histogram(x=lista_num_cit, histnorm='probability',\n",
    "#     #cumulative=dict(enabled=True)\n",
    " )\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "layout = Layout(    \n",
    "    title = label_journal+\" \"+str(lista_years),\n",
    "     xaxis=dict(       \n",
    "         title= 'Number of citations received as of 2017' , ),\n",
    "     yaxis=dict(       \n",
    "         title= 'PDF' ,\n",
    "      type='log',),\n",
    ")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# layout = Layout(    \n",
    "\n",
    "#     bargap=0.2,\n",
    "\n",
    "\n",
    "\n",
    "#     xaxis=dict(\n",
    "        \n",
    "#         title= 'Year' , #v1_string.replace(\"_\",\" \"),   \n",
    "#         titlefont=dict(           \n",
    "#             size=font_axes,\n",
    "#             color='black'\n",
    "#         #    color='lightgrey'\n",
    "#         ),  \n",
    "#         tickfont=dict(               \n",
    "#             size=font_ticks,\n",
    "#             color='black'\n",
    "#         ),\n",
    "#         #type='log'\n",
    "#     ),\n",
    "#     yaxis=dict(\n",
    "#         title='Number papers published',    \n",
    "#         type='log',\n",
    "#         titlefont=dict(            \n",
    "#             size=font_axes,\n",
    "#             color='black'\n",
    "#         #    color='lightgrey'\n",
    "#         ),  \n",
    "#         tickfont=dict(               \n",
    "#             size=font_ticks,\n",
    "#             color='black'\n",
    "#         ),\n",
    "        \n",
    "#     ),                \n",
    "\n",
    "#     margin=go.Margin(\n",
    "#         l=250,\n",
    "#        # r=50,\n",
    "#         b=150,\n",
    "#         #t=100,\n",
    "#         #pad=80\n",
    "#     ),\n",
    "\n",
    "\n",
    "    \n",
    "    \n",
    "   \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "\n",
    "#     bargroupgap=0.1\n",
    "#)       \n",
    "\n",
    "data = [trace1]#, trace2]#, trace3]\n",
    "\n",
    "fig = Figure(data=data, layout=layout)\n",
    "\n",
    "fig_name=\"histogram_num_cit_\"+label_journal+\"_1990_1995\"\n",
    "path='/home/staff/julia/at_Northwestern/In_Text_Citations/In-Text-Citations-New/plots/'\n",
    "\n",
    "#iplot(fig, filename=fig_name)\n",
    "\n",
    "\n",
    "offline.plot(fig, auto_open=True, image = 'png', image_filename=\"histogram_num_cit_\"+label_journal+\"_1990_1995.html\" ,\n",
    "             output_type='file',image_width=2000, image_height=1400, filename=path+fig_name+\".html\", validate=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cursor = papers_con.collection.find().sort([(\"issue.PY\",-1)]).limit(10) # i look for the 10 youngest papers (write +1 instead of -1 for the oldest)\n",
    "# for s in cursor:\n",
    "#     print(s)\n",
    "#     print('--------------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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