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Start-up sees data analytics as information overload cure for researchers, publishers

There are more than 34,000 scientific, medical and technical peer-reviewed scholarly journals in the world. They publish nearly 2.5 million articles a year — about an article every 13 seconds. In a field of more than seven million researchers, how is anyone supposed to stay up-to-date? And for publishers, how do they know which manuscripts will capture readers’ interest?

Enter a new tool called Meta, which has struck deals with publishers in science, technology and mathematics fields, to give the company access to full-text versions of more than 18,000 journals. Using machine reading and natural language processing, Meta scans those articles — as well as the millions of articles stored in open-access repositories — collecting information about authors, citations and topics. The participating publishers receive exposure for their journals in return.

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