They’re here! Your new research features are now visible on Mendeley.com – check it out now!
Mendeley’s Data Science team have been working to crack one of the hardest “big data” problems of all: How to recommend interesting articles that users might want to read? For the past six months they have been working to integrate 6 large data sets from 3 different platforms to create the basis for a recommender system. These data sets often contain tens of millions of records each, and represent different dimensions which can all be applied to the problem of understanding what a user is looking for, and providing them with a high-quality set of recommendations.
With the (quite literally) massive base data set in place, the team then tested over 50 different recommender algorithms against a “gold standard” (which was itself revised five times for the best possible accuracy). Over 500 experiments have been done to tweak our algorithms so they can deliver the best possible recommendations. The basic principle is to combine our vast knowledge of what users are storing in their Mendeley libraries, combined with the richness of the citation graph (courtesy of Scopus), with a predictive model that can be validated against what users actually did. The end result is a tailored set of recommendations for each user who has a minimum threshold of documents in their library.
We are happy to report that two successive rounds of qualitative user testing have indicated that 80% of our test users rated the quality of their tailored recommendations as “Very good” (43%) or “Good” (37%), which gives us confidence that the vast majority of Mendeley reference management users will receive high-quality recommendations that will save them time in discovering important papers they should be reading.
For those who are new to Mendeley, we have made it easy for you to get started and import your documents – simply drag-and-drop your papers, and get high-quality recommendations.
On our new “Suggest” page you’ll be getting improved article suggestions, driven by four different recommendation algorithms to support different scientific needs:
- Popular in your discipline – Shows you the seminal works, for all time, in your field
- Trending in your discipline – Shows you what articles are popular right now in your discipline
- Based on the last document in your library – Gives you articles similar to the one you just added
- Based on all the documents in your library – Provides the most tailored set of recommended articles by comparing the contents of your library with the contents of all other users on Mendeley.
Suggestions you receive will be frequently recalculated and tailored to you based on the contents of your library, making sure that there is always something new for you to discover. This is no insignificant task, as we are calculated over 25 million new recommendations with each iteration. This means that even if you don’t add new documents to your library, you will still get new recommendations based on the activity of other Mendeley users with libraries similar to yours.
To find your recommended articles, check out www.mendeley.com/suggest and begin the discover new papers in your field!
If you are a published author, Mendeley’s “Stats” feature provides you with a unique, aggregated view of how your published articles are performing in terms of citations, Mendeley sharing, and (depending on who your article was published with) downloads/views. You can also drill down into each of your published articles to see the statistics on each item you have published. This powerful tool allows you to see how your work is being used by the scientific community, using data from a number of sources including Mendeley, Scopus, NewsFlo, and ScienceDirect.
Stats gives you an aggregated view on the performance of your publications, including metrics such as citations, Mendeley readership and group activity, academic discipline and status of your readers, as well as any mentions in the news media – helping you to understand and evaluate the impact of your published work. With our integration with ScienceDirect, you can find information on views (PDF and HMTL downloads), search terms used to get to your article, geographic distribution of your readership, and links to various source data providers.
Please keep in mind that Stats are only available for some published authors whose works are listed in the Scopus citation database. To find out if your articles are included, just visit www.mendeley.com/stats and begin the process of claiming your Scopus author profile. If not, please be patient as we work further on this feature.
Mendeley has restyled and simplified the profile page to make it easier to use with improved layout and visual impact. The card-based design and progress bar make updating profile fields a breeze, while the brand new publications feature allows published authors to bulk import their publications from Scopus, de-duplicate them and showcase their work in the publications section. This more comprehensive publications list can also improve the quality of the article recommendations available via Mendeley Suggest.
Feature: Mendeley supports Elsevier sign in
If you’ve registered with another Elsevier product such as My Research Dashboard, ScienceDirect alerts or Scopus, you can now use the same username and password to sign in to Mendeley rather than registering a new account. This will save you from having to remember (yet another!) username and password, as well as giving you access to Stats based on Scopus if this information is already held in your Elsevier account.
Mendeley.com now features a new navigation, which makes it easier to move around the site and makes our Apps clearer and snappier. As always, we welcome your feedback – please comment on this post or head over to our feedback channel, and help us to improve Mendeley further.