John J. McMahon
University of Salford
108 Papers
187 Citations
John J. McMahon is an academic researcher from University of Salford. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 19, co-authored 85 publications.
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Papers
No differences in weightlifting overhead pressing exercises kinetics
Marcos A Soriano,Marcos A Soriano,Marcos A Soriano,Jason P. Lake,Jason P. Lake,Paul Comfort,Paul Comfort,Timothy J. Suchomel,Timothy J. Suchomel,John J. McMahon,Ester Jiménez-Ormeño,Pilar Sainz de Baranda +11 more
TL;DR: In this article, the authors compared the kinetics between push press, push jerk and split jerk with a relative load of 80% 1RM push press on a force platform and found no significant or meaningful differences (p > 0.05, 2 < 0.010) for any kinetic measure between the three lifts.
4
Scoping review of methods of monitoring acute changes in lower body neuromuscular function via force plates
Andrew J. Badby,Nicholas J Ripley,John J. McMahon,Peter D. Mundy,P. Comfort +4 more
3
The Role of Strength Training for Lower Extremity Tendinopathy
David R. Hartley,John J. McMahon +1 more
TL;DR: The current research underPINning used strength training methods to manage lower limb tendinopathy and the best ways in which these methods can be applied by professionals are examined.
3
Combined assessment methods
Timothy J. Suchomel,John J. McMahon,Jason P. Lake +2 more
- 01 Jan 2019
TL;DR: In this paper, the authors explore why combined assessment methods (CAMs) are useful in identifying specific deficits in an athlete's performance and therefore areas to prioritise development and provide specific protocols which should be adopted in both research and applied settings when using combined assessments.
3
Standardisation of testing
John J. McMahon,Paul A. Jones,Paul Comfort +2 more
- 09 Oct 2018
TL;DR: In this paper, the authors provide an overview of the factors regarding standardisation that should be considered when designing and conducting fitness testing and when subsequently analysing the resultant data, to ensure accurate, valid, reliable and comparable data.
2