In 2010 the publication of the Altmetrics Manifesto called attention to a new source of data that could be used to measure the impact of research. These author and article-level metrics use evidence from a researcher's digital footprint to assess the impact and influence of that researcher in ways that are different, but complementary to, citation-based indicators that measure the influence of only peer-reviewed journal articles.
Altmetrics uses real-time and openly accessible data from social media and other online tools to allow researchers to quickly measure public engagement with a researcher's scholarly work. Examples include: social media mentions, downloads, shares, ratings, comments, captures & exports, to name a few. Traditional citation-based metrics can take a while to produce usable data in comparison.
Altmetrics Toolkit: Provides a glossary of different type of altmetrics, and gives advice about the appropriate use of each metric, and how to choosw metrics based on the impact that one is measuring.
Altmetric Aggregators: tools that aggregate altmetric data to make keeping track of them easy for researchers.
Altmetric Models: documents from organizations that have created guides to help standardize the presentation of a wide variety of altmetrics.