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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
A standardized citation metrics author database annotated for scientific field
John P A Ioannidis1, Jeroen Baas2, Richard Klavans3
1Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America.
A new database of 100,000 top scientists offers standardized citation metrics, including h-index and coauthorship-adjusted hm-index. This resource provides career-long and single-year impact data across 22 scientific fields.
Area of Science:
- Covers 22 major scientific fields and 176 subfields.
- Includes comprehensive data for top-cited scientists globally.
Background:
- Citation metrics are essential but often misused in research evaluation.
- Standardized metrics are needed for accurate assessment of scientific impact.
Purpose of the Study:
- To create a publicly available, standardized database of top scientists' citation metrics.
- To provide a comprehensive resource for evaluating scientific impact and career progression.
Main Methods:
- Compiled data for 100,000 top scientists.
- Calculated metrics including citations, h-index, and coauthorship-adjusted hm-index.
- Included data on self-citations and authorship positions, with career-long and single-year impact.
Main Results:
- Database provides standardized citation data, field- and subfield-specific percentiles.
- Includes metrics adjusted for coauthorship and authorship position.
- Offers data updated to end of 2017 and 2018 for comparative analysis.
Conclusions:
- The database offers a valuable, standardized tool for assessing scientific contributions.
- Facilitates more accurate and equitable evaluation of researchers across diverse fields.
- Aims to mitigate misuse of citation metrics in academic assessment.
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