thumb|The original logotype from the Altmetrics Manifesto thumb|alt=A ranking of five scholarly papers based on their Altmetric Attention Scores.|OOIR.org shows which scholarly papers are "trending" based on Altmetric Attention Scores. In scholarly and scientific publishing, altmetrics (stands for "alternative metrics") are non-traditional bibliometrics proposed as an alternative or complement to more traditional citation impact metrics, such as impact factor and h-index. The term altmetrics was proposed in 2010, as a generalization of article level metrics, and has its roots in the #altmetric
thumb|The original logotype from the Altmetrics Manifesto thumb|alt=A ranking of five scholarly papers based on their Altmetric Attention Scores.|OOIR.org shows which scholarly papers are "trending" based on Altmetric Attention Scores. In scholarly and scientific publishing, altmetrics (stands for "alternative metrics") are non-traditional bibliometrics proposed as an alternative or complement to more traditional citation impact metrics, such as impact factor and h-index. The term altmetrics was proposed in 2010, as a generalization of article level metrics, 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, but calculate scholar impact based on diverse online research output, such as social media, online news media, online reference managers and so on. It demonstrates both the impact and the detailed composition of the impact. Altmetrics could be applied to research filter, promotion and tenure dossiers, grant applications and for ranking newly-published articles in academic search engines.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).