Supplementary data tables for "A standardized citation metrics author database annotated for scientific field" (PLoS Biology 2019)
John P.A. Ioannidis,
UnspecifiedDepartments of Medicine, of Health Research and Policy, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
- Jeroen Baas,
Richard Klavans10th Medical Group
- Kevin Boyack
Description of this data
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, co-authorship 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 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least 5 papers. Career-long data are updated to end-of-2017 and to end-of-2018 for comparison.
Experiment data files
Steps to reproduce
Code explaining the compilation of the elements and data is provided in the downloadable files; detailed code (PySpark) calculating the metrics can be found in the python file.
Cite this dataset
Ioannidis, John P.A. ; Baas, Jeroen; Klavans, Richard; Boyack, Kevin (2019), “Supplementary data tables for "A standardized citation metrics author database annotated for scientific field" (PLoS Biology 2019)”, Mendeley Data, v1 http://dx.doi.org/10.17632/btchxktzyw.1