Information overload? Help is at hand.

With ~4000^* new papers published within the scientific community every day, Recommended helps you find the right one to read next. ^*Source: The STM Report, March 2015

A family of devices showing the Recommended service across Springer Nature websites

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.

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Why Recommended?

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.

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How is Recommended being used?

sourced from ~45,000 journals^** ** Source: Crossref title list
over 4,000,000 recommendations made
used in over 180 countries

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As our service learns about your individual research interests you'll start to receive weekly emails.

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How we use the data we collect

Recommended relies upon knowing about what you’ve been reading, across Nature.com, BioMed Central, Springer Open and SpringerLink, in order to deliver recommendations personalised to you.

We currently place a cookie on your device and store the DOIs of the articles you read across the sites mentioned above, together with a random identifier for the cookie.

We use this information to help make personalised recommendations of primary research papers that we think you might be interested in.

If you register to receive recommendations by email, we will store the email address and name that you provide alongside the cookie-based identifier.

Finally, we use anonymised, aggregated data such as interactions, browser, device and screen size information, to identify patterns of usage so that we can improve the service in the future.

We will not share your data with third parties unless we have your permission, as detailed in our Privacy and Cookie policies.

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We would love to hear your feedback to help us shape and improve the service. Please email us at recommended@springernature.com.