In scholarly and scientific publishing, altmetrics are non-traditional bibliometrics[2] proposed as an alternative[3] or complement[4] to more traditional citation impact metrics, such as impact factor and h-index.[5] The term altmetrics was proposed in 2010,[1] as a generalization of article level metrics,[6] and has its roots in the #altmetrics hashtag. Although altmetrics are often thought of as metrics about articles, they can be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc.
Altmetrics use public APIs across platforms to gather data with open scripts and algorithms. Altmetrics did not originally cover citation counts,[7] but calculate scholar impact based on diverse online research output, such as social media, online news media, online reference managers and so on.[8][9] It demonstrates both the impact and the detailed composition of the impact.[1] Altmetrics could be applied to research filter,[1] promotion and tenure dossiers, grant applications[10][11] and for ranking newly-published articles in academic search engines.[12]
Overtime, the diversity of sources mentioning, citing, or archiving articles has gone down. This happened because services ceased to exist, like Connotea, or because changes in API availability. For example, PlumX removed Twitter metrics in August 2023.[13]
^Haustein, Stefanie; Peters, Isabella; Sugimoto, Cassidy R.; Thelwall, Mike; Larivière, Vincent (2014-04-01). "Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature". Journal of the Association for Information Science and Technology. 65 (4): 656–669. arXiv:1308.1838. doi:10.1002/asi.23101. ISSN2330-1643. S2CID11113356.