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.
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 🛠⛔️
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("sbalci/lens2r")library(lens2r)
#> Loading required package: httr
#> Loading required package: jsonlite
#> Loading required package: magrittr
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
#> lens_id created publication_type
#> 1 040-450-672-971-619 2019-08-12T03:30:43.659000+00:00 journal article
#> authors
#> 1 NA, Mark, Tushnet, M, magid, 1845306793, Harvard University, grid.38142.3c, US
#> title
#> 1 Institutions protecting constitutional democracy: Some conceptual and methodological preliminaries
#> volume issue languages references
#> 1 70 2 en 199-199-909-278-791
#> fields_of_study
#> 1 Liberal democracy, Sociology, Law, Constitution
#> source_urls
#> 1 html, html, https://www.utpjournals.press/doi/abs/10.3138/utlj.2019-05-27, https://muse.jhu.edu/article/731612
#> abstract
#> 1 Chapter 9 of the South African Constitution refers to ‘institutions protecting constitutional democracy’ (IPDs). Contemporary constitution designers have written into new constitutions numerous suc...
#> year_published references_count
#> 1 2020 1
#> external_ids start_page end_page
#> 1 magid, doi, 2964660712, 10.3138/utlj.2019-05-27 95 106
#> author_count date_published source.title
#> 1 1 2020-03-01T00:00:00+00:00 University of Toronto Law Journal
#> source.type source.publisher source.issn source.country
#> 1 Journal University of Toronto Press 00420220, 17101174 Canada
#> source.asjc_codes source.asjc_subjects
#> 1 3308, 3312 Law, Sociology and Political Science
output_flatten <- as.data.frame(output_flatten)
output_flatten
#> total data.lens_id data.created
#> 1 446110 040-450-672-971-619 2019-08-12T03:30:43.659000+00:00
#> data.publication_type
#> 1 journal article
#> data.authors
#> 1 NA, Mark, Tushnet, M, magid, 1845306793, Harvard University, grid.38142.3c, US
#> data.title
#> 1 Institutions protecting constitutional democracy: Some conceptual and methodological preliminaries
#> data.volume data.issue data.languages data.references
#> 1 70 2 en 199-199-909-278-791
#> data.fields_of_study
#> 1 Liberal democracy, Sociology, Law, Constitution
#> data.source_urls
#> 1 html, html, https://www.utpjournals.press/doi/abs/10.3138/utlj.2019-05-27, https://muse.jhu.edu/article/731612
#> data.abstract
#> 1 Chapter 9 of the South African Constitution refers to ‘institutions protecting constitutional democracy’ (IPDs). Contemporary constitution designers have written into new constitutions numerous suc...
#> data.year_published data.references_count
#> 1 2020 1
#> data.external_ids data.start_page data.end_page
#> 1 magid, doi, 2964660712, 10.3138/utlj.2019-05-27 95 106
#> data.author_count data.date_published data.source.title
#> 1 1 2020-03-01T00:00:00+00:00 University of Toronto Law Journal
#> data.source.type data.source.publisher data.source.issn
#> 1 Journal University of Toronto Press 00420220, 17101174
#> data.source.country data.source.asjc_codes
#> 1 Canada 3308, 3312
#> data.source.asjc_subjects results
#> 1 Law, Sociology and Political Science 1A package to access patent data from the Lens Patent Database Deprecated
https://github.com/poldham/lensr
https://github.com/poldham/covidlens
Scientific and Patent Literature on Covid-19 Corona Virus from the Lens for R https://poldham.github.io/covidlens/
https://docs.api.lens.org/samples.html#r
These are the basic codes this package uses
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")<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
