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 approximately 45,000 journals from Crossref and PubMed. 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.Start receiving recommendations
Because Recommended learns about your individual research interests and doesn’t just match papers based on keyword analysis, this ensures you get the best possible recommendations for you - irrespective of the publisher.
You can also tailor the service to your convenience, choosing how you receive your recommendations and the frequency.Start saving time
As our service learns about your individual research interests you'll start to receive weekly emails.