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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
The journal impact factor: how to interpret its true value and importance.
1Department of History of Medicine, Karol Marcinkowski University Medical School, Poznań, Poland. grzyb@am.poznan.pl
Summary
The journal impact factor (JIF) measures journal influence but can be misleading. JIF should only compare similar journals, not individuals or departments, to ensure accurate scientific assessment.
Area of Science:
- Bibliometrics
- Scholarly Communication
- Scientific Publishing
Background:
- The journal impact factor (JIF) was initially developed to aid library journal collection management.
- Its simplicity and convenience have led to its widespread adoption by funding bodies and academic institutions for decision-making.
- The JIF is often perceived as a measure of scientific prestige and relevance.
Purpose of the Study:
- To critically evaluate the utility and implications of the journal impact factor (JIF).
- To emphasize the appropriate application of JIF in academic assessment.
- To highlight the limitations and potential biases associated with JIF calculations.
Main Methods:
- Analysis of the historical development and application of the journal impact factor.
- Discussion of factors influencing JIF, such as article type and clinical specialty.
- Review of guidelines for the appropriate use of JIF in academic contexts.
Main Results:
- The JIF is a single-parameter metric that can be easily influenced by various factors, including article type and research field.
- Widespread use of JIF for grant allocation, appointments, and policy decisions has raised concerns about its validity.
- JIF is intended for evaluating journals, not individuals or departments.
Conclusions:
- The journal impact factor (JIF) should be used with caution due to its susceptibility to manipulation and bias.
- Comparisons using JIF must be restricted to journals within the same scientific discipline.
- Misapplication of JIF can lead to flawed academic assessments and policy decisions.
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