Scite is an academic research tool that solves a specific, important problem: not all citations are endorsements. When researchers cite a paper, they might be supporting its findings, contradicting them, or simply mentioning them in passing. Traditional citation databases count citations as equal — scite classifies them. This distinction matters enormously for evaluating scientific credibility.
For each paper in scite’s database, you can see how many citations are Supporting (the citing paper affirms the findings), Contrasting (the citing paper disputes the findings), and Mentioning (neutral reference). A paper with 500 citations but 200 contrasting ones is in a very different scientific position than a paper with 500 supporting citations.
Scite’s Assistant is an AI feature that lets you ask research questions in natural language; it returns answers grounded in specific classified citations. Beyond the core citation classification feature, scite offers a literature search interface, alert notifications for new papers citing specific works, and a dashboard for tracking a topic over time.
What It Does
Scite indexes 1.2 billion+ citations across 178 million papers and classifies each based on the context in which the citing paper mentions the cited paper. The classification uses NLP trained on researcher-labeled citation contexts. The Assistant feature answers research questions by searching scite’s citation context database and synthesizing answers from relevant classified citations — similar to Consensus but grounded in citation context rather than paper abstracts.
Who It’s For
- Researchers evaluating a paper’s credibility before citing it in their own work
- PhD students doing systematic literature reviews who need to assess the weight of evidence
- Academic institutions checking for reproducibility issues before building on a paper
- Journal editors and peer reviewers assessing the standing of cited work
- Science journalists fact-checking whether a widely cited paper has been replicated or contested
Pricing
| Plan | Price | Notes |
|---|---|---|
| Free | Limited searches | Basic citation context, limited Assistant queries |
| Essential | $20/mo | Unlimited search, full Assistant, citation alerts |
| Research | Custom | Team features, API access, institutional licensing |
Pricing verified at scite.ai/pricing as of 2026-04-14.
Key Features
- Citation classification — every citation labeled Supporting, Contrasting, or Mentioning
- 1.2B+ classified citations — the largest database of context-classified citations available
- Scite Assistant — AI Q&A grounded in citation context, not just abstracts
- Citation alerts — get notified when a paper you follow receives new citations
- Topic dashboard — track the citation landscape for a research area over time
- Journal and author analysis — see supporting/contrasting ratios at journal and researcher level
- API access — programmatic access for institution-level research tools
Limitations
- $20/month with no meaningful free tier — the free plan is too limited to evaluate whether it fits your workflow; a trial period is available but short
- Citation classification is not perfect — NLP-based classification has error rates, particularly for nuanced citation contexts; always verify important classifications
- Coverage gaps in some fields — strong in biomedical and social sciences; thinner in engineering, arts, and humanities
- Expensive for individual researchers — $20/month is reasonable for institutions but steep for independent academics without institutional access
Bottom Line
Scite scores 8/10 on utility for researchers who need to evaluate scientific credibility — the classification of citations as supporting or contrasting is genuinely unique and not available in Google Scholar, PubMed, or Web of Science. Moat is 8/10 because the classified citation database is proprietary and has taken years to build. Value is 7/10 at $20/month — excellent for active researchers, expensive for casual use.
Best Alternatives
| Tool | Price | Key Difference |
|---|---|---|
| Consensus | Free / $10.99/mo | Evidence synthesis, no citation classification |
| Elicit | Free / $12/mo | Literature review automation, no citation context |
| Semantic Scholar | Free | Broad database, citation counts but no classification |
| Google Scholar | Free | Largest index, no citation context classification |
FAQ
What makes Scite different from Google Scholar? Google Scholar counts citations; scite classifies them. Knowing that a paper has 500 citations is less useful than knowing that 150 of them explicitly contest its findings. Scite’s citation context transforms citation counts from a popularity metric into an evidence-quality signal.
Is Scite worth paying for? For researchers who regularly need to evaluate paper credibility, yes. The Supporting/Contrasting/Mentioning breakdown saves hours of reading and makes literature review more rigorous. For casual or occasional academic work, Semantic Scholar is free and covers basic needs.
Sources
- Scite official site — verified 2026-04-14
- Scite pricing — verified 2026-04-14