1. Activity Data, and
Mendeley
This brief set of slides will discuss how Mendeley is currently using activity data, and it will
discuss some of our plans for activity data, going forward.

2. Access
vs
Usage
There is a distinction between access and usage. One thing that COUNTER statistics give you
is an access event i.e. when a researcher obtains a document. Mendeley has the ability to see
what use a documet is put to after it has been accessed.

3. We are a VC funded company that is focussed on providing collaboration and information
management solutions. We were founded by a couple of PhD researchers who were unhappy
with the tools available to them.

4. Mendeley Desktop
Mendeley provides a pdf and reference management tool that works across platforms.

5. Manage
your research
papers
Users can annotate, and organise their documents.

6. Mendeley aggregates research data in the cloud
It aggregates usage information on papers into the cloud.

7. By doing this, Mendeley makes science more
collaborative and transparent
We can determine reading trends in science.

8. Real-time data on 28m research papers:
Thomson Reuters’
Web of Knowledge
Mendeley after
16 months:
And we already have information on lots of papers.

9. We can tell you what kind of people are reading a paper, and where they are from.

10. And just like amazon can recommend books to you based on your behaviour, and the behaviour of everyone
We have started making recommendations about research.
We are trying to make crowed sourced recommendations for science easy, and we have an API, so we are trying to make it easy for you too.
We have BIG ideas, and we are really excited.

11. dev.mendeley.com
CC-BY
We are making the data we aggregate open, and available through our API.

12. Some cool applications have already been built on top of this.

13. Library Integration
We are working on integrating Mendeley with institutional repositories.

14. Library Integration
Users can indicate what papers they have read in Mendeley, and we are going to deposit
these papers into that users institutional repository automatically.

15. • SWORD deposit
• D-Space
• JISC, Mendeley, Cambridge, Symplectic
The first implementation is a JISC funded pilot with the University of Cambridge and
Symplectic

16. Collaborative Filter
We are working on a collaborative filter.

17. Collaborative Filter
We are working on a collaborative filter.

18. Future areas of focus
• Author Disambiguation
• Linked Data standards for citation information
In the future we want to help with the author disambiguation issue, and with making scientific data
more linked.

19. follow me @ianmulvany
We are interested in talking to people with cool ideas! Thank you!