Love, L. K., Hodgson, M. D., Keir, D. A. & Kowalchuk, J. M. (2022). Data analysis technique influences blood flow kinetics parameter estimates for moderate- and heavy-intensity exercise transitions. Experimental Physiology, 107 (1), 82-93. Zugriff am 22.11.2021 unter https://doi.org/10.1113/EP089834
APA-Zitierstil (7. Ausg.)Love, L. K., Hodgson, M. D., Keir, D. A., & Kowalchuk, J. M. (2022). Data analysis technique influences blood flow kinetics parameter estimates for moderate- and heavy-intensity exercise transitions. Experimental Physiology, 107(1), 82-93.
Chicago-Zitierstil (17. Ausg.)Love, L. K., M. D. Hodgson, D. A. Keir, und J. M. Kowalchuk. "Data Analysis Technique Influences Blood Flow Kinetics Parameter Estimates for Moderate- and Heavy-intensity Exercise Transitions." Experimental Physiology 107, no. 1 (2022): 82-93.
MLA-Zitierstil (9. Ausg.)Love, L. K., et al. "Data Analysis Technique Influences Blood Flow Kinetics Parameter Estimates for Moderate- and Heavy-intensity Exercise Transitions." Experimental Physiology, vol. 107, no. 1, 2022, pp. 82-93.