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Paul J. Read
Researcher at Qatar Airways
Publications - 122
Citations - 3104
Paul J. Read is an academic researcher from Qatar Airways. The author has contributed to research in topics: Jumping & Medicine. The author has an hindex of 27, co-authored 111 publications receiving 1944 citations. Previous affiliations of Paul J. Read include University of London & Thomas Jefferson University.
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Journal ArticleDOI
Effects of inter-limb asymmetries on physical and sports performance: a systematic review
TL;DR: The findings of this systematic review indicate that inter-limb differences in strength may be detrimental to jumping, kicking and cycling performance and further research is warranted to understand the mechanisms that underpin inter- Limb differences and the magnitude of performance changes that can be accounted for by these asymmetries.
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Vertical and Horizontal Asymmetries Are Related to Slower Sprinting and Jump Performance in Elite Youth Female Soccer Players.
TL;DR: The results from this study highlight that the SLCMJ appears to be the most appropriate jump test for identifying between-limb differences with values ∼12% showing negative associations with sprint times and larger asymmetries are associated with reduced jump performance and would appear to be direction-specific.
Journal ArticleDOI
Inter-limb asymmetries: Understanding how to calculate differences from bilateral and unilateral tests
TL;DR: A framework for selecting the most APPROPRIateasyMMETRY EQUATION based on the SELECTED TEST METHOD is provided, as well as considerations for data analysis and conclusions about accuracy and interpretation.
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Neuromuscular Risk Factors for Knee and Ankle Ligament Injuries in Male Youth Soccer Players.
Paul J. Read,Jon L. Oliver,Jon L. Oliver,Mark De Ste Croix,Gregory D. Myer,Rhodri S. Lloyd,Rhodri S. Lloyd +6 more
TL;DR: P prevalent risk factors pertaining to male youth soccer players which may contribute to their relative risk of injury are elucidated.
Journal ArticleDOI
Interlimb Asymmetries: The Need for an Individual Approach to Data Analysis.
Chris Bishop,Jason P. Lake,Irineu Loturco,Konstantinos Papadopoulos,Anthony N. Turner,Paul J. Read +5 more
TL;DR: With asymmetries rarely being present on the same side across tests, these results show that a more individual approach to reporting asymmetry is required, which should help practitioners when designing targeted training interventions for their reduction.