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Related Experiment Video

Updated: Jun 23, 2025

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

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

Published on: October 24, 2019

Using Bibliometric Data to Define and Understand Publishing Network Equity in Anesthesiology.

Elizabeth W Duggan¹, Gary S Atwood², Joseph A Sanford^3,4

¹From the Department of Anesthesiology and Perioperative Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.

Anesthesia and Analgesia

|June 14, 2024

Summary

Anesthesiology research shows strong author communities but inequitable influence, with underrepresentation of female and minority scholars. This analysis highlights disparities in connectivity and calls for more inclusive collaboration to boost academic productivity.

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Area of Science:

Bibliometric analysis and social network analysis in anesthesiology research.

Background:

Anesthesiology requires diversity for patient care, education, and research innovation.
Bibliometric and social network analyses reveal scientific community structures and functions.
Focus on equity in node and graph-level connectivity patterns within anesthesiology scholarship.

Purpose of the Study:

To outline network structure and function in anesthesiology research.
To assess equity in connectivity patterns among authors and institutions.
To identify influential authors and institutions and analyze representation.

Main Methods:

Bibliographic data from 6 anesthesiology journals (2017-2022) analyzed.
Coauthorship patterns assessed using R libraries, focusing on node and graph centrality.
Author race and gender classified; Gini coefficient used for influence dispersion.

Main Results:

Author network exhibits high modularity, indicating strong community formation.
Significant inequity in author and institution centrality metrics observed.
Top influential authors predominantly male (79.0%) and White (68.1%), with Asian authors at 24.6%.

Conclusions:

Dense author communities limit cross-community collaboration, potentially hindering novel work.
Inequitable influence and connectivity patterns exist at author and institutional levels.
Female and minority authors are underrepresented among influential scholars, impacting information sharing and diversity.