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PLoS Biol. 2019 Aug 12;17(8):e3000384. doi: 10.1371/journal.pbio.3000384. eCollection 2019 Aug.

A standardized citation metrics author database annotated for scientific field.

Author information

Departments 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.
Research Intelligence, Elsevier B.V., Amsterdam, the Netherlands.
SciTech Strategies, Inc., Wayne, Pennsylvania, United States of America.
SciTech Strategies, Inc., Albuquerque, New Mexico, United States of America.


Citation metrics are widely used and misused. We have created a publicly available database of 100,000 top scientists that provides standardized information on citations, h-index, coauthorship-adjusted hm-index, citations to papers in different authorship positions, and a composite indicator. Separate data are shown for career-long and single-year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 176 subfields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least five papers. Career-long data are updated to end of 2017 and to end of 2018 for comparison.

Conflict of interest statement

The authors have declared that no competing interests exist. JPAI is a member of the editorial board of PLoS Biology. Jeroen Baas is an Elsevier employee. Elsevier runs Scopus, which is the source of this data, and also runs Mendeley Data where the database is now stored.

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