Are Altmetrics Proxies or Complements to Citations for Assessing Impact in Computer Science?

Yusra Shakeel, Rand Alchokr, Jacob Krüger, Gunter Saake, Thomas Leich

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

6 Citaten (Scopus)

Samenvatting

Altmetrics represent an alternative to established citation-based metrics to measure the scientific impact of a publication. For instance, they cover social-media platforms (e.g., Twitter, YouTube) to elicit how individuals outside of the scientific community interact with publications. Still, it is somewhat unclear to what extent Altmetrics are a valuable addition to existing metrics, or may represent only proxies without additional value. In this paper, we present our current steps towards understanding this problem in more detail. To this end, we describe and discuss the results of an initial correlation study that revealed significant positive correlations of different strengths between four categories of Altmetrics and citations. We elaborate on potential causes for, and the impact of, these correlations to define steps for future research aimed at understanding the value of Altmetrics.
Originele taal-2Engels
TitelProceedings - 2021 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2021
RedacteurenJ. Stephen Downie, Dana McKay, Hussein Suleman, David M. Nichols, Faryaneh Poursardar
UitgeverijIEEE Press
Pagina's284-286
Aantal pagina's3
ISBN van elektronische versie9781665417709
DOI's
StatusGepubliceerd - 2021

Bibliografische nota

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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