Scite
What is Scite?
Scite is an innovative AI-driven research tool designed to help academics, researchers, and students discover, evaluate, and understand scientific literature more effectively. Founded in 2018 by Josh Nicholson and Yuri Lazebnik, it leverages a proprietary machine learning model to analyze over 1.3 billion citation statements, providing context on whether citations support, contrast, or merely mention a referenced work. By offering 'Smart Citations,' Scite addresses the limitations of traditional citation indices, which often lack contextual insights, thus aiding researchers in assessing the credibility and impact of studies. The platform serves a global community of over two million users, partnering with major publishers like Wiley and Sage to ensure comprehensive access to scholarly content. Scite also includes an AI Assistant to streamline literature searches and provide evidence-based answers, making it a vital tool for combating information overload and enhancing research reproducibility.
Scite's Core Features
Smart Citations categorize citations as supporting, contrasting, or mentioning, helping users assess a paper’s reliability and impact.
The AI Assistant answers research questions with referenced responses from credible academic sources, improving research efficiency.
Citation chaining allows users to explore related research by following citation trails, uncovering deeper insights.
Personalized dashboards enable users to track citations, monitor trends, and stay updated on specific research areas.
Reference Check identifies retracted or disputed references in manuscripts, ensuring citation accuracy.
The browser extension integrates Smart Citations into online reading, providing instant citation context across platforms.
Journal dashboards offer insights into publication trends, top authors, and subject-specific impact metrics.
Zotero and Mendeley integration allows seamless management and tracking of citations within reference managers.
Frequently Asked Questions
Analytics of Scite
Monthly Visits Trend: Apr 2025 - Oct 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| Indonesia | 13.33% |
| United States | 11.80% |
| India | 8.28% |
| United Kingdom | 5.03% |
| Philippines | 4.65% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| scite ai | 26.0K | $0.42 |
| scite | 26.1K | $0.60 |
| consensus ai | 233.1K | $0.35 |
| how to re-open a closed winow in chrome | 230 | -- |
| attitudes toward ai-powered mental health chatbots among university students | 240 | -- |
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