How does it work?

Powered by an adaptive algorithm, Recommended learns about your individual research interests by analysing the last 100 papers you’ve read across nature.com, SpringerLink and BioMed Central.

Recommended then looks for similar primary papers to your reading history, utilising a variety of sources including Crossref, PubMed, and arXiv. These get combined with data from other sources, such as Altmetric, to create a recommendation score which our service uses to deliver primary papers that meet the quality threshold, from all publishers.

Recommended continually learns and improves from how users interact with its suggestions.