Emati is a recommender system for scientific literature. From your interactions we learn which topics you like and which you don't. Using this information we rank the latest articles according to your interests. New content is generated every sunday night. So check back Monday morning to see what's new. Currently all papers are sourced from PubMed and arXiv. The range of topics is therefore limited to those also present there.
Emati is developed by TU Dresden (Germany). The project is the result of combined efforts of Kurt Lachmann, Richard Kwasnicki, Joschka Heinrich, Alexandre Mestiashvili and Michael Schroeder.