Academic
Use Sports Science Research from your AI
Search exercise and sports-science literature: Europe PMC as the main index (exercise physiology, endurance, athletic performance, recovery), PubMed narrowed by sports MeSH terms, and SportRxiv preprints. No API key required - Arlet supplies a PubMed key that raises the rate limit.
Covers the sports-science literature from the published record through to preprints.
Tools:
- search_sports_science: Europe PMC with an exercise/sports filter. The major journals in the field (Sports Medicine, Medicine & Science in Sports & Exercise, Journal of Applied Physiology) are indexed here, and open-access records include the abstract.
- search_sports_medicine_studies: PubMed narrowed with MeSH terms (Sports, Athletic Performance, Exercise, Physical Endurance) for MeSH-level precision. Metadata and links only.
- search_sportrxiv_preprints: SportRxiv on OSF, for findings not yet journal-published. This is the single home for SportRxiv across the healthcare servers - SportRxiv covers strength and endurance alike, so the strength-training server links here instead of duplicating the search.
Using two literature tools is intentional: Europe PMC gives broader coverage plus open-access abstracts, while PubMed's controlled vocabulary keeps a broad query from drifting off topic. Start with Europe PMC, then use PubMed when precision matters.
Abstracts are returned only for open-access articles under a CC license; other records carry metadata and a link, because abstract text remains the publisher's copyright.
This server reports what studies found. It does not prescribe training or treat injuries, and it is not medical advice.
What you need
- An Arlet account
- No API key or account registration is needed. Just switch it on in Arlet.
Choose your AI client
Pick the AI client you use to see how to connect it with Sports Science Research.