Etalia was conceived by two scientists who felt the need for new ways in scholarly communication. First, they dreamed a web platform to discover new publications, connect with relevant experts for discussions, comments and reviews, and disseminate one’s own writings easily. Then, they started working on it.
Etalia fetches the articles you write and what you read from your orcid profile and your reference library manager (e.g. Zotero or Mendeley). Based on their content, it generates a personal text fingerprint as a representation of your areas of interests. To understand your interests, Etalia uses recent advances in natural language processing, machine learning, and statistics. By matching your personal fingerprint with the text fingerprints of publications, comments and other public texts, Etalia builds your personalized news streams and lets you engage in content-driven scholarly exchanges. Reading on a new topic or extending your research interests? Etalia will automatically adapt.
Etalia builds a personalized feed of new scientific publications within your areas of interests. You can upload the publications to your personal library, share them with friends and collaborators via social media, as well as dismiss publications that are less relevant to you. Based on your activity, Etalia learns and refines its recommendations.
Etalia lets you discover trending publications and hot topics in your area of interest and beyond based on different metrics such as Altmetric™ score.
With Etalia, you have the possibility to engage in threads, a new text-driven way to communicate with experts on specific topics. Threads can be private or public, open question or comment on a particular paper. Threads are pushed only to the news feed of researchers that share expertise on the topic, maximizing their engagement.
Norbert Schuff, Co-founder, Professor at UCSF
Nicolas Pannetier, Co-founder, Developer
Rich Schneider, Associate Professor at UCSF
Etienne Dauvergne, Frontend Developer