Startup handles 100 million calls for Open Science, per month

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Aug 22, 2012, 11:47 ET

LONDON, Aug. 22, 2012 /PRNewswire/ -- Imagine the rich ecosystem of third-party Facebook and Twitter apps, now emerging in the domain of science. More than 240 applications for research collaboration, measurement, visualization, semantic markup, and discovery - all of which have been developed in the past year - receive a constant flow of data from London-based startup Mendeley. Today, Mendeley announced that the number of queries to its database (termed "API calls") from those external applications had surpassed 100 million per month.

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Akin to a "Wikipedia for academic data", the information fueling this ecosystem has been crowdsourced by the scientific community itself. Using Mendeley's suite of document management and collaboration tools, in just three years its global community of 1.9 million researchers has created a shared database containing 65 million unique documents and covering - according to recent studies - 97.2% to 99.5% of all research articles published. Commercial databases by Thomson Reuters and Elseviers contain 49 million and 47 million unique documents respectively, but access to their databases is licensed to universities for tens of thousands of dollars per year.

In contrast, Mendeley's database is freely accessible under a Creative Commons license, and it is the only one that allows third-party developers to build their own tools with the research data anywhere on the web, on mobile devices, or on the desktop. Moreover, because Mendeley's data is crowdsourced, it has a unique social layer: Each document comes with anonymized real-time information about the academic status, field of research, current interests, location of, and keywords generated by its readers. Mendeley's API also adds information about related research documents and public groups on Mendeley that the document is being discussed in.

Bastian Greshake, co-founder of openSNP, explained: "We started openSNP to crowdsource the discovery of genotype-phenotype associations. In less than a year, our users have uploaded over 200 genetic testing results and more than 3400 phenotypic annotations for over 100 different genetically influenced traits, which is a great success. Mendeley's API enables our users to find the latest scientific literature - including thousands of Open Access articles - relevant to their own genetic testing results."

Dario Taraborelli, Senior Research Analyst at the Wikimedia Foundation and creator of ReaderMeter.org, said: "By sharing a large corpus of open-licensed data, Mendeley is laying the foundation for a whole new science of the making and spreading of scientific knowledge." Jason Priem, co-founder of Total-Impact.org, added: "Using Mendeley's data, we can show how papers are making a difference long before they show up in the citation record. In the future, researchers will interact with the literature via a web of interlocking, third-party applications for sorting, filtering, and conversing. By opening its valuable data to developers, Mendeley is helping us get there, today."

Tim O'Reilly, CEO & Founder of O'Reilly Media, commented: "This milestone shows how the future of science is being built, app by app, data source by data source. Open data is the biggest science story of the 21st century."

Dr. Victor Henning, CEO & Co-Founder of Mendeley, said: "Our vision was always to make science more open. The Mendeley API liberates data that has been locked behind paywalls for decades - enabling app developers to reinvent academic workflows, research data discovery, even scientific publishing."

Mendeley API graphs & app screenshots: https ://www .dropbox .com /sh /rf 39 css 46 lmeue 3/E 1 qUGBwrmE
Mendeley press photos: http ://www .flickr .com /photos /mendeley /sets /72157630652171616/