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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
cache = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# lens2r
<!-- badges: start -->
[](https://www.repostatus.org/#wip)
[](https://github.com/sbalci/lens2r/actions)
[](https://travis-ci.com/sbalci/lens2r)
<!-- badges: end -->
The goal of lens2r is to get Lens.org scholar data into R environment.
You need Lens.org scholar API token to access data, you can [get one here](https://www.lens.org/lens/user/subscriptions#scholar).
> Scholarly Search and Analysis
Lens serves over 200 million scholarly records, compiled and harmonised from Microsoft Academic, PubMed and Crossref, enhanced with UnPaywall open access information, CORE full text and links to ORCID. The full scholarly citation graph is provided for the first time as an open public resource.
🔬🔬🔬🔬 UNDER CONSTRUCTION 🛠⛔️⚠️🔩
## Installation
<!-- You can install the released version of lens2r from [CRAN](https://CRAN.R-project.org) with: -->
<!-- ``` r -->
<!-- install.packages("lens2r") -->
<!-- ``` -->
You can install the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("sbalci/lens2r")
```
## Examples
```{r example}
library(lens2r)
request <- '{
"query": {
"match_phrase": {
"author.affiliation.name": "Harvard University"
}
},
"size": 1,
"sort": [{
"year_published": "desc"
}]
}'
data <- lens2r::get_scholarly_data(query = request)
output_content <- httr::content(data, "text")
output_flatten <- jsonlite::fromJSON(output_content, flatten = TRUE)
output_flatten_data <- output_flatten$data
output_flatten_data
output_flatten <- as.data.frame(output_flatten)
output_flatten
```
## Similar Works
### lensr
A package to access patent data from the Lens Patent Database
Deprecated
https://github.com/poldham/lensr
### covidlens
https://github.com/poldham/covidlens
Scientific and Patent Literature on Covid-19 Corona Virus from the Lens for R https://poldham.github.io/covidlens/
### R codes in Lens.org API documentation
https://docs.api.lens.org/samples.html#r
These are the basic codes this package uses
```r
require(httr)
getScholarlyData <- function(token, query){
url <- 'https://api.lens.org/scholarly/search'
headers <- c('Authorization' = token, 'Content-Type' = 'application/json')
httr::POST(url = url, add_headers(.headers=headers), body = query)
}
token <- 'your-access-token'
request <- '{
"query": {
"match_phrase": {
"author.affiliation.name": "Harvard University"
}
},
"size": 1,
"sort": [{
"year_published": "desc"
}]
}'
data <- getScholarlyData(token, request)
content(data, "text")
```
---
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---
## Development Status
[](https://www.repostatus.org/#wip)
[](https://github.com/sbalci/lens2r/actions)
[](https://travis-ci.com/sbalci/lens2r)