Selecting the donut badge in HeinOnline brings users to the Altmetric Attention Score page for that article. The summary tab contains general information regarding the article. It also contains a visual representation of the location of users from X, formerly known as Twitter, and Mendeley readers who are sharing the output.
Tab through the various outlets to be directly linked to each reference.
Researchers can set up email alerts to tell them when an article has been mentioned. This allows researchers and authors to track ongoing attention associated with an article.
The Altmetric Attention Score is derived from an automated algorithm and represents a weighted count of the attention picked up for a research article. It is based on three main factors:
1. Volume: The score for an article rises as more people mention it. We only count one mention from each person per source, so if you tweet about the same paper more than once, Altmetric will ignore everything but the first.
2. Sources: Each category of mention contributes a different base amount to the final score. For example, a newspaper article contributes more than a blog post, which contributes more than a tweet.
3. Authors: Altmetric looks at how often the author of each mention talks about scholarly articles, whether or not there’s any bias towards a particular journal or publisher, and who the audience is.
The Altmetric donut colors show you where the conversations are happening. The amount of each color displayed on the donut will change depending on which sources a research output has received attention from. The colors of the Altmetric donut each represent a different source of attention: