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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Published on: October 24, 2019

Author keywords in biomedical journal articles.

Aurélie Névéol1, Rezarta Islamaj Doğan, Zhiyong Lu

  • 1National Library of Medicine Bethesda, MD 20894.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|February 25, 2011
PubMed
Summary
This summary is machine-generated.

Author keywords are increasingly common in biomedical articles. Over 60% of these author keywords closely relate to Medical Subject Headings (MeSH) indexing terms used in PubMed.

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Area of Science:

  • Biomedical Informatics
  • Information Retrieval
  • Bibliometrics

Background:

  • PubMed provides access to MEDLINE-cited documents using author and indexer terms.
  • Author keywords are increasingly utilized in biomedical publications.
  • Understanding the relationship between author keywords and formal indexing terms is crucial for information retrieval.

Purpose of the Study:

  • To analyze the growth and availability of author keywords in biomedical literature.
  • To compare author keywords with Medical Subject Headings (MeSH) terms assigned by MEDLINE indexers.
  • To evaluate the effectiveness of a similarity metric for assessing the relatedness between author keywords and MeSH terms.

Main Methods:

  • Descriptive analysis of author keyword usage trends.
  • Comparative study of author keywords and MeSH terms for PubMed Central Open Access articles.
  • Application of a similarity metric to quantify the relationship between author keywords and MeSH terms.
  • Manual review of 300 keyword-MeSH term pairs to validate the metric.

Main Results:

  • Author keywords are becoming more prevalent in biomedical journal articles.
  • Over 60% of author keywords demonstrate a close relationship to a corresponding MeSH indexing term.
  • The developed similarity metric effectively assesses the relatedness between author-assigned and indexer-assigned terms.

Conclusions:

  • Author keywords offer a valuable, increasingly available resource for biomedical information retrieval.
  • The high degree of overlap between author keywords and MeSH terms suggests potential for improved indexing and terminology development.
  • Findings support the integration of author keywords into search strategies and controlled vocabulary enhancement.