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[Evaluation of scientific quality using citation analysis and other bibliometric methods]
Summary
Citation frequency and journal impact factors are unreliable for evaluating individual scientific quality due to biases and field variations. Bibliometrics may offer insights at aggregate levels with adjustments for research field effects.
Area of Science:
- Bibliometrics and Scientometrics
- Scientific Evaluation Methodologies
Context:
- Citation frequency, as indexed by the Science Citation Index, is widely used in scientific evaluation.
- The journal impact factor is often proposed as a quick measure of article quality.
Purpose:
- To critically examine the validity of bibliometric methods, specifically citation frequency and journal impact factor, for assessing scientific quality.
- To determine the suitability of these metrics for evaluating individual scientists, research groups, and institutions.
Summary:
- Citation frequency is influenced by citation biases and field-specific dynamics, making it an equivocal measure of scientific quality.
- Individual citation frequencies are highly variable, rendering them unsuitable for grading scientists or research groups.
- Journal impact factors are poor indicators of individual article or author quality due to skewed citation distributions and weak correlations with author citation rates.
Impact:
- Bibliometric indicators can provide relevant information on research activity at aggregate levels (e.g., institutes) when adjusted for research field effects.
- The findings question the reliability of current bibliometric practices for precise scientific quality assessment, advocating for nuanced evaluation approaches.
- This analysis highlights the limitations of using citation counts and journal impact factors as standalone metrics for scientific merit.