Coronavirus in context: Scite.ai tracks positive and negative citations for COVID-19 literature

The number of new papers on the COVID-19 pandemic is doubling every two weeks, and shows no sign of slowing. Many of these papers are published first on preprint servers, which means they are made public before having undergone peer review. This makes it all the harder to judge their merit. Now, one start-up company says that its platform -- called Scite.ai -- can automatically tell readers whether papers have been supported or contradicted by later academic work. Unlike conventional citation-metrics tools, Scite.ai