What is Scite AI?
Scite is an advanced AI platform built specifically for reliable research discovery and literature evaluation. It addresses the critical challenge of assessing research credibility by moving beyond simple citation counts to analyze how scientific publications are cited. Leveraging the world's largest collection of full-text scholarly content, Scite provides verifiable, evidence-based insights, making it indispensable for researchers, academic institutions, and corporate R&D teams who require trustworthy data.
Key Features
Scite transforms the research workflow by focusing on contextualizing scientific findings, ensuring you spend less time evaluating sources and more time conducting reliable work.
💡 Smart Citation Analysis
Scite leverages a deep learning model to classify over 1.4 billion citation contexts across 200 million sources. Instead of just showing if a paper was cited, Smart Citations reveal how it was cited—specifically, whether the citing paper supports, contrasts, or merely mentions the original finding. This unique classification provides immediate, verifiable insight into the scientific consensus surrounding any claim.
🤖 Scite Assistant: Grounded LLM Experience
Harness the power of a large language model (LLM) built upon Scite's unique database of Smart Citations. The Assistant allows you to ask complex research questions and receive detailed, evidence-based answers with real references. By grounding the AI in classified scholarly literature, Scite significantly minimizes the risk of hallucinations and ensures the quality and verifiability of the generated information.
🔎 Comprehensive Literature Search
Go beyond standard title and abstract searches. Scite indexes Citation Statements from the full-text of research articles, allowing you to find specific information and relevant research that traditional metadata-only searches often miss. This comprehensive approach ensures you have access to the broadest view of the literature, combining both Open Access and paywalled content.
✅ Evaluate References for Manuscript Quality
Ensure the integrity and quality of your work before submission. The Reference Evaluation tool allows you to check the references in your manuscript to see how those papers have been subsequently cited by newer research. This capability helps you properly cite high-quality references and quickly identify if any foundational sources have been contradicted or retracted.
Use Cases
Scite is designed to integrate seamlessly into diverse research environments, offering tangible benefits across sectors:
- Academic Research and Writing: When drafting a paper on a specific mechanism, you can quickly check a core reference paper using Smart Citations. If the results show a high volume of contrasting citations from credible sources, you know to investigate those counter-arguments immediately, ensuring your literature review is robust and current.
- Corporate Development and Efficacy Tracking: Pharmaceutical or biotech firms can use Scite to stay ahead of drug development and efficacy claims. By tracking the citation context for clinical trial results, R&D teams can rapidly assess the scientific community’s consensus (supporting or contradicting data) on specific compounds or methodologies, mitigating risk in development pipelines.
- Systematic Review and Collection Management: For systematic reviews or ongoing topical monitoring, you can build and manage collections of articles. Scite provides aggregate insights on these collections and sends notifications, allowing you to track and improve research outcomes across your organization or monitor emerging trends and contradictory findings within a specific field.
Conclusion
Scite empowers you to move beyond basic discovery to confidently evaluate the reliability and context of scientific claims. By integrating Smart Citations and a verifiable LLM Assistant into your workflow, you can dramatically increase the efficiency and trustworthiness of your research.
More information on Scite AI
Top 5 Countries
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Traffic Sources
1.33%
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Source: Similarweb (Sep 24, 2025)
Scite AI was manually vetted by our editorial team and was first featured on 2023-06-27.
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