Streamlining Research Metrics Compilation Reports: An Automated Approach Using Scopus and Clarivate APIs

This article examines the development and implementation of a customized Python script utilizing the Elsevier Scopus and Clarivate Web of Science Journal Citation Reports Application Programming Interfaces (APIs). The aim was to streamline and expedite the labor-intensive process of collecting resea...

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Published in:Medical reference services quarterly 2024-07, Vol.43 (3), p.234-242
Main Authors: Loper, Kimberly A., Sorondo, Barbara M., Prieto, Eduardo N.
Format: Article
Language:English
Subjects:
API
Bibliometrics
Biomedical Research
Florida
Humans
Python
research impact
research metrics
Software
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container_title Medical reference services quarterly
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creator Loper, Kimberly A.
Sorondo, Barbara M.
Prieto, Eduardo N.
description This article examines the development and implementation of a customized Python script utilizing the Elsevier Scopus and Clarivate Web of Science Journal Citation Reports Application Programming Interfaces (APIs). The aim was to streamline and expedite the labor-intensive process of collecting research metrics, which were traditionally compiled manually by librarians at the University of Miami Miller School of Medicine Louis Calder Memorial Library. The script significantly reduces the time and effort required to generate comprehensive reports on research productivity, thereby enabling more efficient resource allocation and aiding in faculty evaluations.
doi_str_mv 10.1080/02763869.2024.2371751
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source Library & Information Science Abstracts (LISA); Taylor and Francis Social Sciences and Humanities Collection
subjects API
Bibliometrics
Biomedical Research
Florida
Humans
Python
research impact
research metrics
Software
title Streamlining Research Metrics Compilation Reports: An Automated Approach Using Scopus and Clarivate APIs
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