👉 Preprint recommendations on Sciety

Finding the next important read or deciding which article to evaluate next can be a time consuming task for researchers.

That’s why the Sciety team have designed a tool to make this process quicker and more simple by using Artificial Intelligence (AI) to recommend articles to you based on the things you are already reading.

Articles

If you are viewing an article page on Sciety, you can now see cards for three related articles at the bottom of the page.

Lists

If you’ve logged in and are curating preprints on Sciety, you can now view recommendations based on the articles saved in your Lists. It might inspire you to add more articles to your reading List, or to create another List on Sciety to share with your peers. Whatever your use case, we hope to remove barriers to preprint discovery so you can reprioritise your time.

How do recommendations work?

To recommend related articles, Sciety makes use of an AI powered research tool called Semantic Scholar. This tool searches across more than 200 million articles to recommend relevant results. Sciety uses this data to filter results for preprints and display them alongside articles and Lists, improving discovery of evaluated preprints.

Proud to be a curator on Sciety? Use this graphic to share the link to your List on social media, and remember to tag @scietyHQ so we can highlight your great work!