Science and Research Content

Kudos announces partners with Thomson Reuters’ ScholarOne to help authors explain their research articles -

Kudos, a service for maximizing the reach and impact of research publications, has announced a partnership with Thomson Reuters' ScholarOne manuscript submission and peer review system to facilitate the capture and dissemination of plain language summaries of research articles. Plain language explanations of research help to broaden usage of research by increasing the discoverability of works, and enabling them to be understood by wider audiences.

Through this pilot, ScholarOne and Kudos will enable authors of six participating publishers to add a plain language explanation of their work during the submission and acceptance workflow; integrating Kudos into existing article workflows in this way will make it quicker and easier for authors to begin the process of increasing readership, and encourage more authors to do so. Summaries added via ScholarOne are then automatically passed to Kudos and made available to the author to create a profile page for their publication on the Kudos platform – helping them promote their work and build readership.

Publishers participating in this pilot are: Bioscientifica, The British Editorial Society of Bone & Joint Surgery – publishers of The Bone & Joint Journal, Canadian Science Publishing, Emerald Group Publishing, Future Science Group and Wiley.

The summaries collected by ScholarOne are passed to Kudos when an article is accepted and then held under embargo until the article is formally published, at which point the author is invited to use Kudos tools to manage wider outreach and ensure people find, read and apply or cite their publications. Summaries are not only displayed on the Kudos site, but also indexed, syndicated or linked to by search engines, abstracting & indexing services and publisher or institutional websites.

Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

Click here to read the original press release.

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