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Updated: Aug 15, 2026
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Bibliometric methods: pitfalls and possibilities
1University Library of Southern Denmark, University of Southern Denmark, DK-5230 Odense M, Denmark. wallin@bib.sdu.dk
Basic & Clinical Pharmacology & Toxicology
|October 21, 2005
Summary
Bibliometric studies are vital for research assessment, but require careful data normalization and domain expertise. Proper interpretation of bibliometric indicators demands technical skill and critical analysis to avoid common pitfalls.
Area of Science:
- Bibliometrics
- Scientometrics
- Research Assessment
Background:
- Bibliometric studies are increasingly utilized for evaluating scientific research.
- The application of bibliometric indicators is prevalent in research assessment.
Purpose of the Study:
- To highlight the critical need for data normalization in bibliometric studies.
- To emphasize the importance of domain-specific knowledge and critical interpretation in bibliometrics.
Main Methods:
- Discusses the inherent dependence of bibliometric indicators on methodology.
- Underscores the necessity of data normalization techniques.
Main Results:
- Bibliometric indicators are highly sensitive to the methods employed.
- Effective data normalization is crucial for accurate bibliometric analysis.
Conclusions:
- Bibliometric studies require technical proficiency, critical judgment, and deep understanding of the scientific field.
- Accurate interpretation of bibliometric investigations is essential for reliable research assessment.
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