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  pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus

Rose, M., & Kitchin, J. R. (2019). pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus. Max Planck Institute for Innovation & Competition Research Paper, No. 19-03.

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Locator:
https://ssrn.com/abstract=3320470 (Preprint)
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Locator:
https://doi.org/10.1016/j.softx.2019.100263 (Publisher version)
Description:
Also published in SoftwareX, 10, 100263
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 Creators:
Rose, Michael1, Author           
Kitchin, John R. 2, Author
Affiliations:
1MPI for Innovation and Competition, Max Planck Society, ou_2035292              
2External Organizations, ou_persistent22              

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Free keywords: Scopus, software, Python, bibliometrics, scientometrics
 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 re-
producibility of research projects and enhances data integrity for researchers using Scopus data.

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Language(s): eng - English
 Dates: 2019-01-22
 Publication Status: Published online
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: Max Planck Institute for Innovation & Competition Research Paper
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: No. 19-03 Sequence Number: - Start / End Page: - Identifier: -