ArticleFrontiers in physiology2024
Identifying the ideal weekly training load for in-game performance in an elite Brazilian soccer team.
Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- The Aging Curve: How Age Affects Physical Performance in Elite Football.Journal of functional morphology and kinesiology · 2025Article
- Identifying Optimal Pitch Training Load in Elite Soccer Players.Journal of functional morphology and kinesiology · 2025Article
- Editorial: Training load in sport: current challenges and future perspectives.Frontiers in sports and active living · 2025Article
- Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review.Frontiers in sports and active living · 2025Review
- Analyzing Key Factors on Training Days within a Standard Microcycle for Young Sub-Elite Football Players: A Principal Component Approach.Sports (Basel, Switzerland) · 2024Article
- Match-to-Match Variation on High-Intensity Demands in a Portuguese Professional Football Team.Journal of functional morphology and kinesiology · 2024Article
- Classification of recovery states in U15, U17, and U19 sub-elite football players: a machine learning approach.Frontiers in psychology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.