To welcome in the new year, metajournal quietly rolled-out a big update to the machine learning magic that is the foundation for recommending quality, significant and personally relevant papers to you based on your professional medical interests.

Suggesting quality, significant, relevant medical papers and articles

The metajournal Collective Intelligence Engine, is the secret sauce that integrates evidence with your own interests, along with topics that other clinicians in your specialty are following and interested in.

Not only does metajournal look for quality articles that are relevant to the Topics and Journals that you follow – metajournal is now smart enough to follow your article reading behavior.

As you read and favorite papers and abstracts, metajournal learns more about the types of articles that you find most interesting and relevant – the topics, the authors, the journals, and many many more features. Metajournal will even recommend particularly relevant papers that are outside your followed journals, reducing the chance that you miss something truly important.

Metajournal is also smart enough to understand which articles you do not find interesting – simply click the not interesting... link under an abstract and metajournal will grow a little wiser by understanding what is not relevant to you.

The best way to get the most out of metajournal's growing intelligence is simply to teach metajournal more about what interests you: follow interesting Topics, click through to Read interesting abstracts and Favorite the most interesting papers, and when metajournal suggests Not interesting... articles – click the link to tell it!