The Article Metrics module can be found on Scopus in the Document details page, where a sidebar highlights Scopus citation count (along with percentile benchmarking), Field-weighted citation impact and PlumX Metrics. Clicking on “View all metrics” opens a more detailed Metrics page, displaying all available metrics and the underlying content for further analysis and understanding.
PlumX Metrics is Plum Analytics’ comprehensive, item-level metrics that provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. To support like-with-like analysis and help make sense of the huge amounts of data involved, they are divided into five categories:
- Usage: A way to signal if anyone is reading the articles or otherwise using the research. Usage is the number one statistic researchers want to know after citations.
- Captures: Indicates that someone wants to come back to the work — can be a leading indicator of future citations.
- Mentions: Measurement of activities such as news articles or blog posts about research — a way to tell that people are truly engaging with the research.
- Social media: This category includes the tweets, Facebook likes, etc. that reference the research. Social Media can help measure “buzz” and attention. Social media can also be a good measure of how well a particular piece of research has been promoted.
- Citations: This category contains both traditional citation indexes such as Scopus, as well as citations that help indicate societal impact such as Clinical or Policy Citations
The Plum Print: For quick and easy understanding, these five categories of metrics are also displayed as a data visualization known as the Plum Print. Each circle in the Plum Print represents the metrics in the associated category by color. The larger the circle, the more metrics in that category.
The five categories are represented separately because each one represents a different type of engagement, and should not be combined into a single score.
View an article on Scopus to see how Article-level metrics work