Scite AI is an award-winning platform that enables users to discover and evaluate scientific articles through Smart Citations. The platform provides context to each citation and classifies it as supporting or contrasting evidence for the cited claim. Used by over 460,000 students, researchers, and industry experts worldwide, Scite AI aids in efficient literature searches, reference checks, and understanding of scientific papers in a broader context.
Top 5 Features:
– 1.2B Smart Citations: The platform provides context for each citation in a scientific article and classifies it as supporting or contrasting evidence
– Citation Statements: Users can search the unique database of Citation Statements to surface interesting debates in topics of interest
– Reference Check: This feature allows users to upload their manuscript and get a report showing if any of their references have concerning editorial notices or are heavily contrasted by newer literature
– Journal and Institutional Dashboards: Users can explore these dashboards to find publications, compare rankings, and see changes in their yearly Scite Index
– Scite Visualizations: This feature lets users discover and evaluate how articles cite each other through interactive visualizations
Top 5 Use Cases:
– Assessing Credibility of Research: The platform provides context for each citation in a scientific article and classifies it as supporting or contrasting evidence. This helps users evaluate the credibility of research claims
– Literature Searches: Users can surface interesting debates in topics of interest by searching the unique database of Citation Statements
– Reference Verification: The platform allows users to upload their manuscript and receive a report showing if any of their references have concerning editorial notices or are heavily contrasted by newer literature
– Evaluating Research Trends: Users can explore journal and institutional dashboards to find publications, compare rankings, and see changes in their yearly Scite Index
– Understanding Broader Context: Users can discover and evaluate how articles cite each other through interactive visualizations. This helps place a scientific paper in the context of the wider literature
