What is LitSource - PubMed evidence finder for biomedical writing
LitSource is an AI-powered citation discovery and verification engine designed for biomedical research. It helps researchers find verifiable sources in seconds, verify every reference before submission, and reduce fabricated, mismatched, and risky citations with traceable literature evidence. It integrates with PubMed, PubMed Central, Crossref, OpenAlex, and Semantic Scholar, covering over 100 million peer-reviewed biomedical papers.
How to use LitSource - PubMed evidence finder for biomedical writing
- Paste your text: Enter a paragraph from your thesis, a hypothesis, or a claim into the search box.
- Choose a mode: Select "Find Sources" to discover supporting literature or "Fake Citation Check" to verify existing references.
- Run analysis: Click "Run Analysis" to let the AI process your input.
- Review results: LitSource returns matched evidence with sentence-level extraction, entity highlighting, and source verification status.
- Export citations: One-click export to APA, MLA, EndNote, BibTeX, RIS, and other formats.
Features of LitSource - PubMed evidence finder for biomedical writing
- Semantic Search: Understands natural language claims, including non-English inputs, and reverse-matches to precise literature.
- Fake Citation Check: Batch-validates DOIs and metadata to detect AI hallucinations and mismatched references.
- Sentence-level Extraction: Highlights exact supporting sentences from full-text articles.
- Biomedical Entity Recognition: Automatically identifies diseases, genes, drugs, and populations in text.
- 100M+ Literature Database: Directly connected to PubMed, Crossref, OpenAlex, Semantic Scholar, and PMC.
- One-click Access: Smart PDF download and instant export to major citation formats.
- Multi-language Support: Accepts claims in Chinese and other languages, converting them to English queries.
Use Cases of LitSource - PubMed evidence finder for biomedical writing
- Clinical researchers: Quickly find evidence-based treatment guidelines for case presentations.
- Graduate students: Search for methods used in specific research areas (e.g., CRISPR off-target analysis) and get exact paragraphs.
- Systematic review authors: Screen thousands of papers using entity highlighting to spot exclusion criteria.
- Medical students: Cross-check facts with real clinical trial context.
- Clinicians: Look up exact sentences about drug dosages for clinical decision support.
- Bioinformatics researchers: Extract gene-phenotype associations via API for large-scale curation.
