Atypon has launched a new web app, Scitrus, that filters content that is relevant and reliable from content that isn’t, helping researchers keep up with the ever-growing volume of academic literature and news in their field.
Scitrus is a new researcher tool that puts machine learning to work for each reader, generating a personalised, social media-style feed of only the latest and most relevant journal articles, news, and citation alerts.
Scitrus curates content published daily from over 30,000 authoritative sources across the web. Each reader’s feed is populated by the disciplines, journals, authors, and societies that they follow when setting up their account. The app’s algorithms learn from every interaction, continuously improving the relevance of the feed’s content. Not only is Scitrus content filtering personalised and smart, but its unique layout engine further individualises the reading experience by showing more content from the most important and relevant items. This allows the reader to review new research more efficiently and discover quickly what they need to read.
Researchers and practitioners can use further options to specify the content sources in their feed, control the degree of filtering, and save content to read later.
A free Scitrus account can be set up in just a few clicks by visiting and selecting topics and journals of interest, or import publications and bibliographies from sources such as ORCID and Mendeley to pre-train Scitrus.
Scitrus is the first of a suite of new productivity-enhancing researcher tools that Atypon will release this year.
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