Supplementary data tables for "A standardized citation metrics author database annotated for scientific field" (PLoS Biology 2019)

Published: 6 Jul 2019 | Version 1 | DOI: 10.17632/btchxktzyw.1
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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.

Latest version

  • Version 1

    2019-07-06

    Published: 2019-07-06

    DOI: 10.17632/btchxktzyw.1

    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

Statistics

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Downloads: 35914

Institutions

Elsevier BV, Stanford University

Categories

Bibliometrics

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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