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Scite is an AI-powered research platform designed to transform how scholars and researchers discover, evaluate, and contextualize scientific literature. Traditional citation indexes count how many times a paper is cited, but that view lacks nuance. Scite adds depth by introducing Smart Citations, which classify each citation into categories such as supporting, contradicting, or mentioning. This approach helps users see not just how often a publication is referenced but how it is referenced—whether others back its claims, challenge them, or simply mention it in passing.
By mining over a billion citation statements, Scite connects users to the citation context, showing the precise sentence or segment around the citation, allowing researchers to assess critique, consensus, or debate surrounding a work. Users can perform a reference check to identify citations in their own manuscripts that may be disputed or controversial, enhancing the rigor and reliability of their writing. Scholars can also set alerts to monitor new citations, track evolving discourse, or discover emerging critiques of key papers.
Scite supports custom dashboards so institutions, research groups, or individual scholars can group DOIs or topics and evaluate trends over time. Its API enables integration into research tools or workflow systems. A browser extension enhances the experience by overlaying Smart Citation insights while browsing scientific articles, ensuring context is never lost.
Institutional or organizational subscriptions provide tailored access, administrative control, and broader use across campuses or departments. Tiered pricing allows individuals to explore the features, while higher tiers unlock expanded capacity, advanced visualizations, and citation statement searches. Scite has gained momentum in the research community by partnering with publishers and indexing bodies, and by becoming part of Research Solutions in late 2023 to further its mission of next-generation citation infrastructure.Â
Scite is especially valuable for researchers, librarians, and academics who wish to go beyond superficial citation counts and adopt a more discerning, context-aware approach to literature review, meta-analysis, and scholarly discourse. It helps surface dissent, corroboration, or mention patterns rapidly, enabling more informed decisions about which research to trust, cite, or investigate further.
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