DVS Edition Citation

Manzi, V, Savoia, C, Padua, E, Edriss, S, Iellamo, F, Caminiti, G & Annino, G. (2023). Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: A machine learning approach. Frontiers in Physiology, 14 , 1230912. Zugriff am 04.12.2023 unter https://doi.org/10.3389/fphys.2023.1230912

APA (7th ed.) Citation

Manzi, V., Savoia, C., Padua, E., Edriss, S., Iellamo, F., Caminiti, G., & Annino, G. (2023). Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: A machine learning approach. Frontiers in Physiology, 14, 1230912.

Chicago Style (17th ed.) Citation

Manzi, V., C. Savoia, E. Padua, S. Edriss, F. Iellamo, G. Caminiti, and G. Annino. "Exploring the Interplay Between Metabolic Power and Equivalent Distance in Training Games and Official Matches in Soccer: A Machine Learning Approach." Frontiers in Physiology 14 (2023): 1230912.

MLA (9th ed.) Citation

Manzi, V., et al. "Exploring the Interplay Between Metabolic Power and Equivalent Distance in Training Games and Official Matches in Soccer: A Machine Learning Approach." Frontiers in Physiology, vol. 14, 2023, p. 1230912.