Fraud detection solution at submission powered by AI, data, and network analysis

Formats and validates submitted bibliographic references against PubMed and CrossRef

Compares submitted content to other manuscripts previously submitted to the journal

Compares submitted content to published articles to detect potential plagiarism

Measures and critiques manuscripts' research quality, professionalism, and reproducibility

AI-powered language and technical writing check to enhance research quality

Evaluates manuscript's methods section to measure rigor and reproducibility of research

Verifies unknown researchers with confidence rating to prevent fraudulent peer review

Reports on consistency and integrity of crystallography represented in submitted CIF files

Prepares manuscripts for submission with pre-made templates and direct proofing

Identifies most relevant and appropriate journals for Authors to submit manuscripts to