Bibliometrics API

This product uses web-scraping to provide an API to easily extract data from Elsveir (Scopus) database.

Table of contents

• How to install?
• What features are available?
• What datasource we use?
• Demonstration of the API
• Contribution
• License

Installation

Requirements

This product requires:

• Python 3.x
• Pandas v1.3.5+
• Elsapy v0.5.0+
• Selenium v4.2.0+
• Django

You can use requirements.txt to install all the dependencies:

    python -m pip install --upgrade pip
    pip install -r requirements.txt

You would also need an API key for Elsevier API which you can get from Elsevier Developer Portal. For scraper to work correctly, that key should provide access to Citations Overview API. Key should be put into scraper/key.txt file. Please also make sure that Elsevier API is accessible from your IP-address.

Features

Parse Scopus database for the following metrics:

• Citation count and dynamics of an author
• List of papers, affiliated at selected institution
• For a selected paper - citation dynamics, authors and their affiliations.

Sources

This product fetches data about citation counts and affiliations from Scopus database. Quartile data is pre-fetched from Scopus CiteScore

Demo

You can see the demo of the product here.

Contribution

You can help to develop this software by creating issues on GitHub or by making pull requests.

License

This software is distributed under The MIT License.