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Related Experiment Video

Updated: Jul 12, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

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Introducing the open biomedical map of science.

Michael Ginda1, Bruce W Herr1, Katy Börner1

  • 1Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.

Frontiers in Research Metrics and Analytics
|October 20, 2023
PubMed
Summary

Researchers are developing an open biomedical map of science (OBMS) using PubMed data. This new map visualizes journal and Medical Subject Heading (MeSH) relationships to advance science mapping and bibliometric analysis.

Keywords:
PubMed (MEDLINE)biomedical sciencenetwork visualizationscience mappingscientometrics

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Area of Science:

  • Bibliometrics
  • Science of Science Studies
  • Information Science

Background:

  • PubMed is a primary source for biomedical literature.
  • Existing science maps have limitations in scope and accessibility.
  • Understanding scientific fields requires robust mapping tools.

Purpose of the Study:

  • To develop a new, open biomedical map of science (OBMS).
  • To represent bimodal network relationships between journals and Medical Subject Heading (MeSH) descriptors.
  • To provide a freely accessible resource for analyzing biomedical research landscapes.

Main Methods:

  • Utilizing the PubMed citation database, specifically the MEDLINE component.
  • Analyzing journal article frequency and citation counts for inclusion criteria.
  • Comparing PubMed journal coverage with existing science maps (e.g., UCSD map) for baseline assessment.
  • Developing a prototype OBMS based on journal-MeSH bimodal networks.

Main Results:

  • A prototype open biomedical map of science has been developed.
  • The map visualizes relationships between journals and MeSH terms.
  • Analysis establishes criteria for journal inclusion based on article frequency and citations.
  • Disciplinary coverage of PubMed for 2009-2019 has been assessed against a baseline.

Conclusions:

  • The OBMS offers a novel, open-access approach to visualizing biomedical research.
  • Strengths and weaknesses of the current OBMS prototype are identified.
  • Next steps include further development, productization, and general availability for free use.
  • This tool has the potential to enhance bibliometric analysis and understanding of scientific fields.