October 2023 data-update for "Updated science-wide author databases of standardized citation indicators"

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 according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2022 and single recent year data pertain to citations received during calendar year 2022. 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 (6) is based on the October 1, 2023 snapshot from Scopus, updated to end of citation year 2022. 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 October 1, 2023. 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

引用计量指标被广泛采用且滥用。本团队构建了一个公开可用的顶级被引科学家数据库，其中包含了关于引用、h指数、合作作者调整后的hm指数、不同作者位置论文的引用次数以及综合指标（c-score）的标准化信息。针对终身成就及单独近年来的影响分别提供数据。提供了包含与不包含自引的指标以及引用与引用论文之比。科学家根据Science-Metrix的标准分类被划分为22个科学领域和174个子领域。对于拥有至少5篇论文的所有科学家，均提供了领域和子领域的特定百分位数。终身数据更新至2022年末，单独近年来的数据涉及2022年历年内收到的引用。筛选基于c-score（包含与不包含自引）排名前10万名科学家或子领域2%以上的百分位排名。本版本（6）基于2023年10月1日从Scopus获取的快照，更新至2022年末的引用年份。本工作使用了由Elsevier通过ICSR Lab（https://www.elsevier.com/icsr/icsrlab）提供的Scopus数据。计算使用截至2023年10月1日的所有Scopus作者档案。若作者未在名单上，仅因其综合指标值不足以上榜，并不意味着作者的工作不卓越。请注意，数据库已以存档形式发布，并将不再进行修改。发布的版本反映了计算时的Scopus作者档案。因此，我们建议作者确保其Scopus档案的准确性。对于Scopus数据的更正请求（包括归属更正），不应发送给我们，而应直接发送至Scopus，最好是通过使用Scopus至ORCID反馈向导（https://orcid.scopusfeedback.com/），以确保在引用指标数据库的任何未来年度更新中使用正确的数据。c-score专注于影响（引用）而非生产力（发表论文数量），同时亦融合了合作作者和作者位置（单一、第一、最后作者）的信息。如有其他疑问，请参阅3篇相关的PLoS Biology论文，这些论文阐述了这些指标和数据库的开发、验证和应用。（https://doi.org/10.1371/journal.pbio.1002501, https://doi.org/10.1371/journal.pbio.3000384 和 https://doi.org/10.1371/journal.pbio.3000918）。最后，我们提醒用户，所有引用计量指标均存在局限性，其使用应谨慎且明智。有关更多信息，我们推荐阅读莱顿宣言：https://www.nature.com/articles/520429a。