Scite goes far beyond just open-access articles. We've built the world's largest citation statement database by continually monitoring 200 million scholarly sources and analyzing 1.2B+ citations to create Smart Citations – which provide context and classify citations as supporting or contrasting evidence. This database also powers our AI Assistant and our literature search engine and gives researchers unmatched insight into any topic.
Our innovative index of Smart Citations powers new features built to make research intuitive and trustworthy for anyone engaging with research.
Large Language Model (LLM) Experience for Researchers
Assistant by scite gives you the power of large language models backed by our unique database of Smart Citations to minimize the risk of hallucinations and improve the quality of information and real references.
Use it to get ideas for search strategies, build reference lists for a new topic you're exploring, get help writing marketing and blog posts, and more.
Assistant is built with observability in mind to help you make more informed decisions about AI generated content.
Here are a few examples to try:
"How many rats live in NYC?"
"How does the structure of a protein affect its function?"
Over 969,000 students, researchers, and industry experts use scite
See what they're saying
scite is an incredibly clever tool. The feature that classifies papers on whether they find supporting or contrasting evidence for a particular publication saves so much time. It has become indispensable to me when writing papers and finding related work to cite and read.
Emir Efendić, Ph.D
Maastricht University
As a PhD student, I'm so glad that this exists for my literature searches and papers. Being able to assess what is disputed or affirmed in the literature is how the scientific process is supposed to work, and scite helps me do this more efficiently.
Kathleen C McCormick, Ph.D Student
Cornell
scite is such an awesome tool! It’s never been easier to place a scientific paper in the context of the wider literature.
Mark Mikkelsen, Ph.D
The Johns Hopkins University School of Medicine
This is a really cool tool. I just tried it out on a paper we wrote on flu/pneumococcal seasonality... really interesting to see the results were affirmed by other studies. I had no idea.
David N. Fisman, Ph.D
University of Toronto