Impact factor

[jannisborn]

• Integration with impact-factor
• unittests

You can also retrieve the impact factor for all journals:

>>>from paperscraper.impact import Impactor
>>>i = Impactor()
>>>i.search("Nat Comms", threshold=85, sort_by='impact') 
[
    {'journal': 'Nature Communications', 'factor': 17.694, 'score': 94}, 
    {'journal': 'Natural Computing', 'factor': 1.504, 'score': 88}
]

This performs a fuzzy search with a threshold of 85. threshold defaults to 100 in which case an exact search
is performed. You can also search by journal abbreviation, E-ISSN or NLM ID.

i.search("Nat Rev Earth Environ") # [{'journal': 'Nature Reviews Earth & Environment', 'factor': 37.214, 'score': 100}]
i.search("101771060") # [{'journal': 'Nature Reviews Earth & Environment', 'factor': 37.214, 'score': 100}]
i.search('2662-138X') # [{'journal': 'Nature Reviews Earth & Environment', 'factor': 37.214, 'score': 100}]

# Filter results by impact factor
i.search("Neural network", threshold=85, min_impact=1.5, max_impact=20)
# [
#   {'journal': 'IEEE Transactions on Neural Networks and Learning Systems', 'factor': 14.255, 'score': 93}, 
#   {'journal': 'NEURAL NETWORKS', 'factor': 9.657, 'score': 91},
#   {'journal': 'WORK-A Journal of Prevention Assessment & Rehabilitation', 'factor': 1.803, 'score': 86}, 
#   {'journal': 'NETWORK-COMPUTATION IN NEURAL SYSTEMS', 'factor': 1.5, 'score': 92}
# ]

# Show all fields
i.search("quantum information", threshold=90, return_all=True)
# [
#   {'factor': 10.758, 'jcr': 'Q1', 'journal_abbr': 'npj Quantum Inf', 'eissn': '2056-6387', 'journal': 'npj Quantum Information', 'nlm_id': '101722857', 'issn': '', 'score': 92},
#   {'factor': 1.577, 'jcr': 'Q3', 'journal_abbr': 'Nation', 'eissn': '0027-8378', 'journal': 'NATION', 'nlm_id': '9877123', 'issn': '0027-8378', 'score': 91}
# ]