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Chris Bishop

Researcher at Middlesex University

Publications -  180
Citations -  3214

Chris Bishop is an academic researcher from Middlesex University. The author has contributed to research in topics: Medicine & Sprint. The author has an hindex of 21, co-authored 142 publications receiving 1748 citations. Previous affiliations of Chris Bishop include City and Islington College & St Mary's University, Twickenham.

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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.
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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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Force-time characteristics of the countermovement jump: analyzing the curve in Excel

TL;DR: Information is provided on how to understand and analyse the force-time curve of CMJS in Microsoft Excel, thereby providing practitioners an inexpensive and accessible alternative to readily available software on the market.
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Interlimb Asymmetries: The Need for an Individual Approach to Data Analysis.

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.