Methodology

How mensresearch.ai indexes, ranks, and synthesizes peer-reviewed research on men's health.

What we index

mensresearch.ai aggregates peer-reviewed research from PubMed (36 million+ biomedical citations) and Semantic Scholar (220 million+ scholarly papers across disciplines), filtered to men's health relevance via MeSH term matching and embedding similarity to a curated seed corpus. As of publication, 1.3M papers are indexed.

Preprints and non-peer-reviewed sources are explicitly excluded.

How we rank

For each search query, we compute a blended relevance score:

Score = 0.7 × semantic relevance + 0.2 × log-normalized citations + 0.1 × recency decay

Papers are then quality-filtered: abstracts must exceed 100 characters, be published ≥ 2015 or carry citations, and be ≥ 80% ASCII (filters OCR noise and non-English junk).

How we synthesize

The top 10 quality-filtered sources for a query are sent to Claude Sonnet 4.6 (Anthropic) which returns a structured JSON response with four components:

If fewer than 3 quality sources are available, the system returns "insufficient evidence" rather than synthesizing on weak ground.

What we don't do

See our Medical Disclaimer for details.

Limitations

Versioning

Algorithm v1.0 went live 2026-04-22. Material changes — weighting tweaks, prompt updates, filter additions — are logged at /methodology/history (coming soon).

Contact

Editorial questions or corrections: [email protected].

AI-generated content disclosure: Research summaries on this site are produced by AI (Claude Sonnet 4.6 by Anthropic) from peer-reviewed sources. Summaries are grounded in the cited papers but are not reviewed by a clinician before publication. Treat them as research education, not medical advice.