Project Title:

Comparing Impact of Green Open Access and Toll-Access Publications in the Chemical Sciences

This repository contains the code used to perform the analyses described in the article: "Comparing Impact of Green Open Access and Toll-Access Publications in the Chemical Sciences", published in The Journal of Academic Librarianship, 51(1). DOI: https://doi.org/10.1016/j.acalib.2024.102984.

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Project Overview

This project examines the research impact and dissemination of green open access (GOA) and toll-access (TA) publications in the chemical sciences.

• Python scripts: Used for data collection from APIs, including ChemRxiv, Scopus (via Pybliometrics), and Crossref. The Python script is MIT licensed.
• R scripts: Used for statistical analyses, data visualization, and distribution modeling. The R Script is GPL3 licensed.

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Code Organization

• R Code: Contains all scripts for analysis and visualization.
• Python Code: Contains scripts for data mining from APIs.

Important Reuse Notes

The Python data collection script uses a combination of scholarly APIs, including ChemRxiv, Scopus, and Crossref. We have endeavored to follow the appropriate terms and usage policies of each scholarly API, and have linked to the terms and policies where possible below. Use of the Scopus API requires a valid library subscription or institutional access to use their services. Please be responsible if reusing these scripts and respect the API terms and usage policies.

ChemRXiv API documentation and terms:

https://chemrxiv.org/engage/chemrxiv/public-api/documentation

https://chemrxiv.org/engage/assets/public/chemrxiv/term/faq.htm

Scopus API documentation and terms:

https://dev.elsevier.com/sc_apis.html

https://dev.elsevier.com/policy.html

Crossref API documentation and terms:

https://api.crossref.org/swagger-ui/index.html

https://www.crossref.org/documentation/retrieve-metadata/rest-api/rest-api-metadata-license-information/