Metajournal now suggests related articles underneath the abstract you are reading.
This is a simple feature that may have a dramatic impact on your understanding and appreciation of the greater body of evidence surrounding a topic.
Metajournal goes a step further than PubMed's suggestions of related articles, by not just considering the similarity of titles and abstracts, but by also leveraging the machine learning of the metajournal Collective Intelligence Engine to consider article significance, relevance and quality.
For nice examples of Related Articles in action, have a look at the SAFE study (NEJM 2004) and the B-Aware trial (Lancet 2004) – where the suggested 'related articles' include both interesting papers and more recent studies that may otherwise not be seen.
