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Related Experiment Videos

The "impact factor" revisited.

Peng Dong1, Marie Loh, Adrian Mondry

  • 1Medical Statistics and Epidemiology Group, Bioinformatics Institute, BMRC, A*STAR, Singapore. cindy_dongpeng@yahoo.com

Biomedical Digital Libraries
|December 6, 2005
PubMed
Summary
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The journal impact factor (IF) helps assess scientific journals but is often misunderstood. This review clarifies its calculation, biases, and appropriate use for researchers and librarians.

Area of Science:

  • Bibliometrics
  • Scholarly Communication
  • Information Science

Background:

  • The proliferation of scientific journals necessitates tools for evaluating information quality.
  • Librarians and researchers require reliable decision aids to select appropriate journals.
  • The journal impact factor (IF) is a widely used but often misunderstood metric.

Purpose of the Study:

  • To explain the calculation of the journal impact factor (IF).
  • To identify sources of bias in IF calculation.
  • To clarify the appropriate applications and limitations of the IF for different user groups.

Main Methods:

  • Narrative review of existing literature on journal impact factors.
  • Analysis of IF calculation methodologies.

Related Experiment Videos

  • Discussion of biases and limitations in IF usage.
  • Main Results:

    • The IF is calculated based on citation frequency within a specific timeframe.
    • Biases can be introduced through self-citation, review articles, and journal policies.
    • The IF has limitations and cannot answer all questions about journal quality or research impact.

    Conclusions:

    • Understanding IF calculation and limitations is crucial for its effective use.
    • Librarians and researchers can benefit from a nuanced understanding of IF for informed decision-making.
    • Proper application of IF aids in prioritizing quality information sources in a vast scholarly landscape.