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What Is Wrong With the Current Evaluative Bibliometrics?

Endel Põder1

  • 1Institute of Psychology, University of Tartu, Tartu, Estonia.

Frontiers in Research Metrics and Analytics
|February 7, 2022
PubMed
Summary
This summary is machine-generated.

Bibliometric analysis faces challenges due to inadequate credit for multiple-authored papers. Current systems hinder fair evaluation of researchers and institutions, despite calls for change.

Keywords:
bibliometric indicatorsfractionalized countingindividual researcher's performancemulti-authorshipnumber of coauthorsresearch cultureresearch evaluation

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Area of Science:

  • Bibliometrics
  • Scientometrics
  • Research Evaluation

Background:

  • Bibliometric data offers objective measures of scientific publishing and citation.
  • Existing bibliometric indicators are numerous and their application is unclear.
  • Many researchers and fields are excluded from standard bibliometric analysis.

Purpose of the Study:

  • To identify the primary obstacle to developing acceptable bibliometric measures of scientific performance.
  • To critique the current system of credit allocation for multiple-authored articles.
  • To explore reasons why logically sound bibliometric systems are not adopted.

Main Methods:

  • Critical analysis of existing bibliometric practices.
  • Review of historical calls for change in bibliometric evaluation.
  • Identification of systemic flaws in credit allocation for collaborative research.

Main Results:

  • The core problem lies in the inadequate credit allocation for multiple-authored articles.
  • Current bibliometric practices prevent systematic and logically consistent evaluation.
  • Despite methodological justifications for change, social and economic factors impede adoption.

Conclusions:

  • The current bibliometric system is fundamentally flawed due to its handling of collaborative authorship.
  • A logically sound bibliometric evaluation system is currently unattainable due to practical barriers.
  • Rethinking credit allocation is crucial for accurate research performance assessment.