Scite analyzes how scientific articles are cited, classifying references as supporting, mentioning, or contrasting evidence. Readers see smart citations in context to judge claims. Dashboards track where a paper is reinforced or challenged. Search filters surface reliable sources fast. With APIs, browser tools, and integrations, researchers, publishers, and R&D teams evaluate literature quality and monitor impact with fewer blind spots. Teams avoid wasted cycles by trusting context over counts.
Each citation is labeled as supporting, mentioning, or contrasting and displayed with the nearby snippet so readers see how evidence is used. Links jump to source passages for quick verification. This context exposes overclaims, missing limitations, and replication attempts. By focusing on quality rather than totals, researchers and reviewers make faster, better judgments about a paper's credibility in practice.
Search across millions of papers with filters for citation intent, year, field, and study type. Saved searches and alerts notify users when new evidence appears for a claim. Topic pages consolidate debates with representative examples. These tools reduce time spent scanning irrelevant hits and help teams maintain up-to-date views of contested results, especially in fast-moving domains where guidance shifts often.
Dashboards summarize where a paper, author, or venue is supported or challenged and how patterns change. Claim-level views group citations by statement, revealing which details draw agreement or pushback. Librarians and leaders compare journals or labs for due diligence. With this visibility, organizations avoid relying on prestige alone and instead weigh the actual evidentiary landscape behind influential work.
Use APIs to embed smart citation data in discovery tools, literature reviews, and editorial systems. Browser extensions expose context while reading. Integrations with reference managers and publishers keep claims linked to sources. This alignment shortens review cycles and reduces manual verification. Teams bring the same evidence view into peer review, grant evaluation, and product research pipelines reliably.
Flag patterns like citation farms, paper mills, and retracted items. Warnings highlight when support concentrates in a single lab or when negative evidence accumulates. These signals guide deeper checks before policy or product decisions. By elevating integrity markers alongside counts, Scite helps the community reward rigorous work and avoid downstream costs tied to unreliable findings and questionable venues.
Best for researchers, librarians, reviewers, and policy teams who need to assess claims quickly. With smart citations, focused search, dashboards, and integrations, Scite helps users verify evidence, track debates, and prioritize reading, reducing time spent on unreliable sources and giving stakeholders a shared, transparent view of support versus challenge across topics and portfolios.
Scite replaces citation counting, scattered PDF checks, and guesswork about reliability with contextual evidence. Users scan support and contrasts, follow links to source passages, and integrate signals into their tools. The outcome is faster risk assessment, better-informed literature reviews, and decisions grounded in visible evidence quality rather than prestige metrics alone. Shared visibility creates faster alignment in committees. Centralized views eliminate redundant manual checks.
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