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TeamTree analysis: A new approach to evaluate scientific production.
1Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, Strasbourg, France.
Plos One
|July 21, 2021
Summary
A new bibliometric method, TeamTree analysis, visualizes research teams and their development. It offers a citation-independent impact measure based on author connections, complementing existing literature analysis tools.
Area of Science:
- Bibliometrics and scientometrics
- Research evaluation
- Scientific workforce analysis
Background:
- Scientific advancement relies on research teams and publications.
- Current literature analysis primarily focuses on content, neglecting the research workforce.
- Assessing scientific production and impact requires robust methodologies.
Purpose of the Study:
- Introduce TeamTree analysis, a novel bibliometric approach.
- Visualize the evolution and composition of research workforces in scientific fields.
- Develop a citation-independent impact measure for researchers.
Main Methods:
- TeamTree analysis for workforce visualization.
- Development of a new impact metric.
- Utilizing publication records, genealogical ties, and collaborative networks.
Main Results:
- TeamTree analysis provides a visual representation of research team dynamics.
- The new impact measure effectively scales with the H index.
- The approach offers a comprehensive view of scientific contributions beyond citations.
Conclusions:
- TeamTree analysis enhances the exploration of scientific literature by focusing on the workforce.
- The developed impact measure offers a complementary perspective to traditional citation-based metrics.
- This author-centered approach aids in evaluating research and understanding scientific collaboration across disciplines.
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