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pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus

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Bibliographische Detailangaben
Titel:	pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus
Autoren:	Rose, M., Kitchin, J.
Quelle:	SoftwareX
Publikationsjahr:	2019
Bestand:	Max Planck Society: MPG.PuRe
Beschreibung:	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.
Publikationsart:	article in journal/newspaper
Sprache:	English
Verfügbarkeit:	http://hdl.handle.net/21.11116/0000-0004-0251-E
Dokumentencode:	edsbas.769F074E
Datenbank:	BASE

Beschreibung
Abstract:	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.