Work

A standardized citation metrics author database annotated for scientific field

Year: 2019

Type: article

Abstract: 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.

Source: PLoS Biology

DOI: 10.1371/journal.pbio.3000384

Authors: John P. A. Ioannidis, Jeroen Baas, Richard Klavans, Kevin W. Boyack

Institutions: Stanford University, Elsevier BV (Netherlands), SciTech Strategies (United States)

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $3,000

Funder: Laura and John Arnold Foundation