Article-Level Metrics

For all of our journals, we are now providing the Article-Level Metrics (ALM, see description at SPARC): number of views, shares, likes, downloads, citations and discussions will be shown to measure the impact of each single article. These ALM are provided here thank to PlumX Analytics and the relative OJS plugin. PlumX Metrics 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. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like. ALM are COUNTER 4-compliant, an industry standard for the evaluation of online data usage. PlumX gathers and brings together appropriate research metrics for all types of scholarly research output. PlumX categorize metrics into 5 separate categories: Citations, Usage, Captures, Mentions, and Social Media.

Currently, our articles shows data (when available) coming from many different sources: Viewed/Used in different formats (PDF, HTML, XML); Citations by CrossRef, Europe PMC, PubMed, PubMed Central Usage Stats; Scopus; Discussed on Facebook,  Twitter, Reddit, ScienceSeeker, OpenEdition, Wikipedia; Saved by Mendeley. See some examples below:

Some journals are now under testing and may not be accurate in showing ALM; anyway, we are scheduling all ALMs to be ready.

We strongly encourage our readers and authors to look at and analyze these metrics. 



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