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Updated: Jul 1, 2026
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Analyzing University of Virginia Health publications using open data, Python, and Streamlit
Anson Parker1, Abbey Heflin2, Lucy Carr Jones3
1adp6j@virginia.edu, Web Developer, University of Virginia Claude Moore Health Sciences Library, Charlottesville, VA.
Journal of the Medical Library Association : JMLA
|December 3, 2021
Summary
UVA Health authors
Area of Science:
- Bibliometrics and Scholarly Communication
- Health Sciences Librarianship
- Open Science Practices
Background:
- Understanding author publishing choices is crucial for supporting open access initiatives.
- The Claude Moore Health Sciences Library sought to analyze UVA Health's publishing trends.
Purpose of the Study:
- To analyze the publishing patterns of University of Virginia (UVA) Health authors between 2017-2020.
- To determine the proportion of open access versus subscription-only articles.
- To explore a novel bibliometric research approach using open data and tools.
Main Methods:
- Utilized Europe PMC REST API to query PubMed records for "University of Virginia" affiliations.
- Parsed JSON metadata using Python.
- Developed a data visualization with Streamlit, hosted on GitHub.
Main Results:
- Presented the relative proportions of open access and subscription-only articles for UVA Health authors.
- Demonstrated a method for bibliometric analysis using open source tools.
Conclusions:
- This study presents a novel, open-source approach to bibliometric research.
- The findings provide insights into UVA Health's publishing landscape, supporting open access strategies.
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