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SEPTEMBER 2022 DATA-UPDATE FOR "UPDATED SCIENCE-WIDE AUTHOR DATABASES OF
STANDARDIZED CITATION INDICATORS"

Published: 3 November 2022| Version 5 | DOI: 10.17632/btchxktzyw.5
Contributor:
John P.A. Ioannidis


DESCRIPTION

See file 28oct2022_v5_update_release_notes.txt below for detailed explanation of
differences between versions 5 and 4. They both use the same data but version 5
has more appropriate subfield assignment. Citation metrics are widely used and
misused. We have created a publicly available database of top-cited 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 (c-score). Separate data are shown for career-long and,
separately, for single recent 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 174 sub-fields. Field- and
subfield-specific percentiles are also provided for all scientists with at least
5 papers. Career-long data are updated to end-of-2021 and single recent year
data pertain to citations received during calendar year 2021. The selection is
based on the top 100,000 scientists by c-score (with and without self-citations)
or a percentile rank of 2% or above in the sub-field. This version (5) is based
on the Sept 1, 2022 snapshot from Scopus, updated to end of citation year 2021.
This work uses Scopus data provided by Elsevier through ICSR Lab
(https://www.elsevier.com/icsr/icsrlab). Calculations were performed using all
Scopus author profiles as of September 1, 2022. If an author is not on the list
it is simply because the composite indicator value was not high enough to appear
on the list. It does not mean that the author does not do good work. PLEASE ALSO
NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE
CHANGED. The published version reflects Scopus author profiles at the time of
calculation. We thus advise authors to ensure that their Scopus profiles are
accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN
AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus,
preferably by use of the Scopus to ORCID feedback wizard
(https://orcid.scopusfeedback.com/) so that the correct data can be used in any
future annual updates of the citation indicator databases. The c-score focuses
on impact (citations) rather than productivity (number of publications) and it
also incorporates information on co-authorship and author positions (single,
first, last author). If you have additional questions, please read the 3
associated PLoS Biology papers that explain the development, validation and use
of these metrics and databases. (https://doi.org/10.1371/journal.pbio.1002501,
https://doi.org/10.1371/journal.pbio.3000384 and
https://doi.org/10.1371/journal.pbio.3000918). Finally, we alert users that all
citation metrics have limitations and their use should be tempered and
judicious. For more reading, we refer to the Leiden manifesto:
https://www.nature.com/articles/520429a

Download All 153 MB
September 2022 data-update for "Updated science-wide author databases of
standardized citation indicators".zip
SHA-256 checksum:
bda1c9f8f223c0f61cb29598a0c6e7bd664237561f2c42edfbf703254677aef7Copy Checksum


FILES

Code
txt
28oct2022_v5_update_release_notes.txt
2.22 KB

xlsx
Table_1_Authors_career_2021_pubs_since_1788_wopp_extracted_202209b.xlsx
77.1 MB

xlsx
Table_1_Authors_singleyr_2021_pubs_since_1788_wopp_extracted_202209b.xlsx
76.1 MB

xlsx
Table_2_field_subfield_thresholds_career_2021_pubs_since_1788_wopp_extracted_202209b.xlsx
45 KB

xlsx
Table_2_field_subfield_thresholds_singleyr_2021_pubs_since_1788_wopp_extracted_202209b.xlsx
42.9 KB

xlsx
Table_3_maxlog_career_2021_pubs_since_1788_wopp_extracted_202209b.xlsx
5.1 KB

xlsx
Table_3_maxlog_singleyr_2021_pubs_since_1788_wopp_extracted_202209b.xlsx
5.1 KB




STEPS TO REPRODUCE

Code is provided with the dataset and runs on the ICSR Lab data sharing platform
(https://www.elsevier.com/icsr/icsrlab) using Scopus data. It is written in
python (pyspark) and can be used with other datasets on any pyspark platform.


INSTITUTIONS

Stanford University


CATEGORIES

Bibliometrics


ADDITIONAL METADATA FOR ELSEVIER DATASETS

Date the data was collected2022-09-01T00:00:00.000Z


RELATED LINKS

Article
https://doi.org/10.1371/journal.pbio.3000384
is cited by this dataset
Article
https://doi.org/10.1371/journal.pbio.3000918
is compiled by this dataset


RELATED IDENTIFIERS*

https://doi.org/10.1371/journal.pbio.3000384
Is cited by this dataset

*provided by DataCite


LICENCE

CC BY NC 3.0Learn more



DATASET METRICS

Usage
 * Views: 2477451
 * Downloads: 627020

Mentions
 * Blog Mentions: 2
 * News Mentions: 14
 * References: 28

Social Media
 * Shares, Likes & Comments: 863


View details


LATEST VERSION

Version 5
Published:3 Nov 2022
DOI: 10.17632/btchxktzyw.5

Cite this dataset

Ioannidis, John P.A. (2022), “September 2022 data-update for "Updated
science-wide author databases of standardized citation indicators"”, Elsevier
Data Repository, V5, doi: 10.17632/btchxktzyw.5
Copy to clipboard


PREVIOUS VERSIONS

Version 410 October 2022
Version 319 October 2021
Version 28 October 2020
Version 16 July 2019


VERSION COMPARISON

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