ReaderMeter is a mashup visualizing author-level and article-level metrics based on the readership of scholarly publications by a large academic population. Readership data is obtained via the Mendeley API. ReaderMeter was officially launched at Science Online London 2010. It was the first public Web app built on top of the Mendeley API and the first proof-of-concept altmetrics application. All ReaderMeter contents (including machine-readable JSON data) are released under a CC-BY-SA 3.0 license. As of August 2012, it has generated 1.7M+ publicly indexed, CC-licensed reports.

ReaderMeter has been featured in the Wall Street Journal (Tech News), the Guardian, the Times Higher Education, the Journal of Informetrics, the Oxford Internet Institute's report on the Future of Web archives, TechCrunch, The Next Web, Programmable Web ("mashup of the day"), The Library Journal, KnowledgeSpeak, Campus Technology, GigaOM and Killer Startups. It was shortlisted in the "top 10+1 applications that could impact science" by the Mendeley-PLoS Binary Battle (2011).
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