Scite
Status:
watch-list| Maturity:production-ready| Last reviewed: 2026-03-04
What it does
Scite is an AI-powered research platform that helps researchers evaluate the reliability of scientific literature through “Smart Citations.” Unlike traditional citation counts, scite uses deep learning to classify each citation as supporting, contrasting, or mentioning the original paper’s findings. This helps researchers avoid retracted or debunked research and identify the strength of evidence behind any claim.
Key capabilities
- Smart Citations: classifies citations as “supporting,” “mentioning,” or “contrasting”
- Citation Auditing: flags retracted papers and identifies papers citing retracted work
- Research integrity checking — surface papers that have been challenged or contradicted
- Broad disciplinary coverage across STEM and social sciences
Fit for Sheffield researchers
High value for any researcher conducting evidence reviews or assessing the robustness of foundational literature. Particularly valuable in health sciences and life sciences where retraction and reproducibility are significant concerns. The citation integrity function is distinctive and not replicated by most competitors.
Licensing and access
Freemium model with institutional plans available. Recommend exploring library procurement channels for institutional access.
Trust and governance notes
US data residency. GDPR compliance not confirmed. Standard caveats apply for sensitive research use.
Observed limitations
- Smart Citation analysis most meaningful for empirical STEM fields
- Coverage of humanities and grey literature is limited
- Requires familiarity with citation analysis concepts to interpret results correctly
Related tools
elicit · consensus · research-rabbit · semantic-scholar
Sources and evidence
- Scite product page: https://scite.ai/ (accessed 2026-03-04)