pybliometrics: Scriptable bibliometrics using a Python interface to Scopus | Zendy

Michael E. Rose | Zendy; John R. Kitchin | Zendy

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pybliometrics: Scriptable bibliometrics using a Python interface to Scopus

Author(s) -

Michael E. Rose,

John R. Kitchin

Publication year - 2019

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2019.100263

Subject(s) - scopus , python (programming language) , computer science , citation , information retrieval , world wide web , interface (matter) , database , programming language , operating system , medline , bubble , maximum bubble pressure method , political science , law

We present a wrapper for the Scopus RESTful API written for Python 3. The wrapper allows users to access the Scopus database via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The package provides classes to interact with different Scopus APIs to retrieve information as diverse as citation counts, author information or document abstracts. Files are cached to speed up subsequent analysis. The package addresses all users of Scopus data, such as researchers working in Science of Science or evaluators. It facilitates reproducibility of research projects and enhances data integrity for researchers using Scopus data.

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