Sir, author-level metrics reflect the publication performance as well as the academic standing of an individual. They are particularly useful when devising promotion or hiring strategies as well as facilitating grants and funding opportunities.1 Based on historic knowledge, the author-level metrics commonly known to us are the i-10 index, h index and g index; however, there are certain limitations to their use. Based on citation counts, they measure only the scientific impact of a publication. Secondly, it may take several years for a publication to be cited, thus the influence of a researcher may be underestimated.2
Altmetrics has emerged as a practical alternative although it is an article-level metric that provides no information regarding the social or the scientific impact of a researcher.3 Therefore, if these measures of impact are to complement the traditional bibliometrics, we propose that there should be an author-level Altmetrics that would reflect the real-time existence of a researcher since the records on the database are updated daily.
To capture the online attention around scholarly content, various tools are available; namely, the Altmetric Explorer and Plum Analytics amongst many others. Similarly, different journals have their preferences regarding subscriptions to these tools.2 Altmetric Explorer is the most used database for this purpose and has a specific algorithm where each source carries a different weightage, based on which it calculates an aggregated score.4 The same algorithm may be utilised in calculating the author-level Altmetrics;however, in doing so, there are some concerns. Firstly, the database will pick records of those publishers only that subscribe to this database, thereby creating disparity among researchers. Secondly, there are various domains to search through the explorer; namely, the author's name, affiliation and/or ORCID id, which might pose a few problems. There may be more than one individual having a similar name, thereby leading to the problem of name disambiguity.4 Likewise, the researcher's profile may not always be updated in terms of the author's affiliation and ORCID id, resulting in overciting the information.
This letter is intended to draw the attention of readers to the need for having an author-level Altmetrics. We suggest that there should be a universal author-level Altmetrics not subject to any of these limitations and that may be made available on the individual's Google Scholar profile alongside other metrics ensuring easy availability of the resource.
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26 August 2022
A Correction to this paper has been published: https://doi.org/10.1038/s41415-022-4933-z
References
Wildgaard L, Schneider J W, Larsen B. A review of the characteristics of 108 author-level bibliometric indicators. Scientometrics 2014; 101: 125-158.
Naved N, Umer F. Navigating through our history in research: An altmetric analysis for publications by the full-time operative dentistry faculty at the Aga Khan University Hospital in the past decade. J Pak Med Assoc 2022; 72(Suppl 1): S30-S34.
Bornmann L. Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. J Informetrics 2014; 8: 895-903.
Guo Y, Xiao X. Author-level altmetrics for the evaluation of Chinese scholars. Scientometrics 2022; 127: 973-990.
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The original online version of this article was revised.
When this letter was originally published, the author was incorrectly referred to as R. Umer. The correct author name is F. Umer.
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Naved, N., Umer, F. Author-level Altmetrics?. Br Dent J 233, 169 (2022). https://doi.org/10.1038/s41415-022-4558-2
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DOI: https://doi.org/10.1038/s41415-022-4558-2
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