APA (7th ed.) Citation

Nawrin, S. S., Inada, H., Momma, H., & Nagatomi, R. (2024). Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns. Journal of Activity, Sedentary & Sleep Behaviors, 3(1), 1. https://doi.org/10.1186/s44167-024-00059-3

Chicago Style (17th ed.) Citation

Nawrin, Saida Salima, Hitoshi Inada, Haruki Momma, and Ryoichi Nagatomi. "Examining Physical Activity Clustering Using Machine Learning Revealed a Diversity of 24-hour Step-counting Patterns." Journal of Activity, Sedentary & Sleep Behaviors 3, no. 1 (2024): 1. https://doi.org/10.1186/s44167-024-00059-3.

MLA (9th ed.) Citation

Nawrin, Saida Salima, et al. "Examining Physical Activity Clustering Using Machine Learning Revealed a Diversity of 24-hour Step-counting Patterns." Journal of Activity, Sedentary & Sleep Behaviors, vol. 3, no. 1, 2024, p. 1, https://doi.org/10.1186/s44167-024-00059-3.