Analysis of the 10-day ultra-marathon using a predictive XG boost model

Most 10-day runners originated from USA, but the fastest runners originate from Finland and Israel. The fastest race courses were in Greece. Running on dirt paths leads to a significant reduction in running speed while running on asphalt leads to faster running speeds.

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Publication Details

Journal
BMC Research Notes
Published
2024-12-19
DOI
https://doi.org/10.1186/s13104-024-07028-8
Citations
3
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
1.26
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article

Analysis of the 10-day ultra-marathon using a predictive XG boost model

Katja Weiss, Beat Knechtle, Volker Scheer, Rodrigo Luiz Vancini et al.
3 citations
BMC Research Notes
Winter Sports Injuries and Performance
1.26
article

Analysis of the 10-day ultra-marathon using a predictive XG boost model

Katja Weiss, Beat Knechtle, Volker Scheer, Rodrigo Luiz Vancini, Marília Santos Andrade, Pantelis Τ. Nikolaidis, Mabliny Thuany, Elias Villiger, Ivan Čuk, David Valero, Lorin Braschler, Thomas Johannes Rosemann
article en
3 citations

Abstract

Most 10-day runners originated from USA, but the fastest runners originate from Finland and Israel. The fastest race courses were in Greece. Running on dirt paths leads to a significant reduction in running speed while running on asphalt leads to faster running speeds.

BMC Research NotesVol. 17(1)
University of Bern (CH), Universidade do Porto (PT), University of Zurich (CH), University of St.Gallen (CH), University of Belgrade (RS), University of West Attica (GR), Medbase (CH), Universidade Federal do Espírito Santo (BR), Universidade Federal de São Paulo (BR)
Openalex Percentile: Top 18%
Winter Sports Injuries and Performance
1.26
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Analysis of the 10-day ultra-marathon using a predictive XG boost model — Katja Weiss, Beat Knechtle, et al. · BMC Research Notes (2024) | TGRS Research Map | TGRS