Meet the Social Team

Last month we briefly announced that Mendeley is evolving! A team that is heavily involved in that evolution is the Mendeley Social Team, who are working to bring you all new and improved Stats and Suggest features associated with your Profile.

The Team

Francesca_Ayres (1)Fran is a Product Owner within the Mendeley Social team. She’s been in London for over a decade doing a whole heap of stuff: studying Physics, launching scientific journals, working in funding departments, and striding around the financial services before settling at Mendeley.

How do you describe your role within the Mendeley Team?

It’s my job to care a lot about what we build and why we build it. I gush a lot about how excited I am to be working on the shiny new Mendeley we’re creating!

What is your favourite part about working for Mendeley?

The cake. The people. The parties. Oh, that’s three things. #sorrynotsorry

What do you enjoy doing in your free time?

Watching movies and relaxing. I also run a theatre charity, and half marathons… and I make my own clothes.



Anna has just joined the Mendeley team, having previously been a product manager at ScienceDirect. Her background is in computer science and information retrieval.

How do you describe your role within the Mendeley Team?

For now I’d describe my role as the newbie! I’m taking over responsibility for Mendeley profiles, though, learning the ropes as I go.

What is your favourite part about working for Mendeley?

I love being part of a company where we’re trying to help researchers do their work better, and sometimes by working together with researchers and implementing what’s come out of their research. That’s true of working at Elsevier and, here at Mendeley in particular, the data science team is a great example of that.

But if you want my absolute favourite thing about working at Mendeley, I’m going to have to say the cupboards full of breakfast cereals!

What do you enjoy doing in your free time?

If I could get away with doing nothing but eating pizza, drinking wine and reading a good book, I would. But since I can’t, I also go running. 😉


What are the Social Team are working on?

Firstly, your profile will feature enhanced statistics information to provides any published author with an aggregated view on the performance of their articles, including metrics such as citations, Mendeley readers and group activity, academic discipline and status of your readers, as well as mentions in the news media.

Moreover, you’ll be able to easily import your publications from Scopus, which has the highest-quality source of data on published articles, and for articles published on ScienceDirect we additionally provide information on views (PDF and HMTL downloads), search terms used to get to your article, map of where your readership comes from, and provides links to various source data providers (ScienceDirect, Scopus, media outlets)

In addition to these statistic features, you’ll be getting improved article suggestions,  which will provide four different recommendation algorithms tp support different scientific needs:

  • “Popular in your discipline” – Shows you the seminal works in your field
  • “Trending in your discpline” – Shows you what articles are being read right now
  • “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” – Gives you the most tailored set of recommended articles by comparing the contents of your library with the contents of all other users on Mendeley.

These suggestions will be constantly recalculated and tailored therefore ensuring that there is always something new for you to discover. For users who are new to Mendeley, we make it easy for you to get high-quality recommendations by providing a drag-and-drop way for you to quickly add a paper and get related document suggestions.

So there is lots to look forward and explore as Mendeley evolves. As always, we welcome your feedback through the usual channels – we also have a brief questionnaire on your experience with the new suggest features.