Elicit vs Scite.ai

Elicit

Elicit's semantic search capability goes beyond keyword matching to understand the conceptual meaning behind research questions. When users enter a query like 'What interventions reduce anxiety in college students?', the system interprets the underlying research intent and searches across millions of academic papers to find semantically relevant results—even if papers don't contain the exact search terms. The AI understands synonyms, related concepts, and contextual relationships, surfacing papers that traditional keyword searches would miss. Results are ranked by relevance to the specific research question rather than just citation count or recency. Researchers discover more relevant papers faster, including studies they would have missed with traditional keyword-based searches.

✓ Researchers discover more relevant papers faster, including studies they would have missed with traditional keyword-based searches

Scite.ai

Scite's Smart Citations technology goes far beyond traditional citation counting by analyzing the actual text surrounding each citation to determine its context and sentiment. When a paper cites another work, Scite's machine learning models examine the full sentence and surrounding paragraph to classify whether the citation is supporting the original findings, disputing or contradicting them, or simply mentioning the work without taking a position. This contextual analysis is performed across millions of full-text articles, creating a comprehensive picture of how each paper has been received by the scientific community over time. Researchers can instantly see not just how many times a paper has been cited, but whether those citations represent validation, criticism, or neutral reference. Enables researchers to quickly assess paper credibility and identify potentially problematic research that has been disputed or contradicted by subsequent studies.

✓ Enables researchers to quickly assess paper credibility and identify potentially problematic research that has been disputed or contradicted by subsequent studies

Elicit

Elicit's data extraction engine automatically reads through research papers and pulls out structured information based on user-defined columns. Researchers can specify what data points they need—such as sample size, study duration, intervention type, primary outcomes, effect sizes, or limitations—and Elicit will extract this information from each paper in a systematic, tabular format. The system handles variations in how information is presented across different papers and journals, normalizing extracted data for easy comparison. Users can export extracted data to spreadsheets for further analysis or meta-analysis calculations. Transforms weeks of manual data extraction work into hours, enabling more comprehensive systematic reviews with larger paper sets.

✓ Transforms weeks of manual data extraction work into hours, enabling more comprehensive systematic reviews with larger paper sets

Scite.ai

The Scite Assistant is an advanced AI-powered research tool that allows users to ask natural language questions about any scientific topic and receive comprehensive, evidence-based answers synthesized from the scholarly literature. Unlike general-purpose AI chatbots, the Assistant grounds every response in actual published research, providing inline citations that users can verify and explore further. The system can answer complex research questions, compare findings across studies, identify consensus and controversy in a field, and help researchers understand the current state of knowledge on any topic. The Assistant draws from Scite's vast database of indexed articles and citation contexts to provide nuanced, accurate responses. Dramatically accelerates literature review and research synthesis by providing AI-generated summaries backed by verifiable citations from peer-reviewed sources.

✓ Dramatically accelerates literature review and research synthesis by providing AI-generated summaries backed by verifiable citations from peer-reviewed sources

Elicit

Beyond individual paper analysis, Elicit synthesizes findings across multiple papers to identify patterns, consensus views, and contradictions in the literature. The platform can generate summaries that aggregate key findings from dozens of papers, highlighting where studies agree, where they diverge, and what gaps exist in current research. This synthesis capability helps researchers quickly understand the state of knowledge on a topic without reading every paper in detail. The AI identifies methodological trends, common limitations, and emerging research directions across the literature. Enables researchers to rapidly develop comprehensive understanding of research landscapes and identify opportunities for novel contributions.

✓ Enables researchers to rapidly develop comprehensive understanding of research landscapes and identify opportunities for novel contributions

Scite.ai

Reference Check is a powerful quality assurance tool that automatically analyzes the reference list of any manuscript or paper to identify potential citation issues before publication. The system scans each cited work and flags papers that have been retracted, heavily disputed, or contradicted by subsequent research. It also identifies self-citations, highlights papers with concerning citation patterns, and provides an overall assessment of reference list quality. This tool is invaluable for authors preparing manuscripts, peer reviewers evaluating submissions, and editors ensuring publication quality. Reference Check can process entire manuscripts in seconds, providing detailed reports on each citation's status and context. Helps authors and publishers maintain research integrity by catching problematic citations before publication, reducing the risk of citing retracted or disputed work.

✓ Helps authors and publishers maintain research integrity by catching problematic citations before publication, reducing the risk of citing retracted or disputed work

Elicit

Elicit maintains rigorous academic standards by providing transparent citations and direct links to source documents for all extracted information. Every data point, quote, or finding extracted by the AI includes a citation to the specific paper and often the specific section where the information was found. Users can click through to verify any extracted information against the original source, ensuring accuracy and enabling proper academic citation. The platform also flags when information is uncertain or when papers contain conflicting claims. Maintains academic integrity and enables researchers to confidently cite findings while quickly verifying AI-extracted information.

✓ Maintains academic integrity and enables researchers to confidently cite findings while quickly verifying AI-extracted information

Scite.ai

Scite's Custom Dashboards enable institutions, publishers, and research organizations to create tailored analytics views that track citation patterns, research impact, and publication quality across their portfolios. Users can monitor how their organization's research is being cited over time, identify which papers are generating supporting versus disputing citations, and benchmark performance against peers or competitors. Dashboards can be configured to track specific journals, authors, institutions, or research topics, with automated alerts when significant citation events occur. The visualization tools make it easy to communicate research impact to stakeholders, funders, and leadership teams. Provides institutions and publishers with actionable intelligence about research quality and impact, enabling data-driven decisions about resource allocation and strategic priorities.

✓ Provides institutions and publishers with actionable intelligence about research quality and impact, enabling data-driven decisions about resource allocation and strategic priorities

Elicit

Elicit supports flexible research workflows that adapt to different research methodologies and project requirements. Users can create custom extraction templates with specific columns tailored to their research questions, save and reuse search strategies across projects, and organize papers into collections for different aspects of their research. The platform supports iterative refinement of searches and extractions, allowing researchers to progressively narrow focus or expand scope as their understanding develops. Collaboration features enable research teams to share workflows and build on each other's work. Adapts to diverse research needs from quick literature scans to comprehensive systematic reviews requiring PRISMA-compliant documentation.

✓ Adapts to diverse research needs from quick literature scans to comprehensive systematic reviews requiring PRISMA-compliant documentation

Scite.ai

The Scite Browser Extension seamlessly integrates citation context analysis into researchers' existing workflows by displaying Smart Citation information directly on publisher websites, Google Scholar, PubMed, and other research platforms. When browsing any indexed paper, users instantly see badges showing the number of supporting, disputing, and mentioning citations without leaving the page. The extension also provides quick access to the full citation context, allowing researchers to dive deeper into how a paper has been received. This frictionless integration means researchers can evaluate paper credibility as a natural part of their literature search process, without switching between tools or disrupting their workflow. Eliminates workflow friction by bringing citation intelligence directly to where researchers already work, enabling instant credibility assessment during literature searches.

✓ Eliminates workflow friction by bringing citation intelligence directly to where researchers already work, enabling instant credibility assessment during literature searches