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Developing Maximal Neuromuscular Power

Overview of attention for article published in Sports Medicine, October 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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45 X users
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1 Facebook page
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1 YouTube creator

Citations

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475 Dimensions

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701 Mendeley
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1 CiteULike
Title
Developing Maximal Neuromuscular Power
Published in
Sports Medicine, October 2012
DOI 10.2165/11538500-000000000-00000
Pubmed ID
Authors

Prue Cormie, Michael R. McGuigan, Robert U. Newton

Abstract

This series of reviews focuses on the most important neuromuscular function in many sport performances: the ability to generate maximal muscular power. Part 1, published in an earlier issue of Sports Medicine, focused on the factors that affect maximal power production while part 2 explores the practical application of these findings by reviewing the scientific literature relevant to the development of training programmes that most effectively enhance maximal power production. The ability to generate maximal power during complex motor skills is of paramount importance to successful athletic performance across many sports. A crucial issue faced by scientists and coaches is the development of effective and efficient training programmes that improve maximal power production in dynamic, multi-joint movements. Such training is referred to as 'power training' for the purposes of this review. Although further research is required in order to gain a deeper understanding of the optimal training techniques for maximizing power in complex, sports-specific movements and the precise mechanisms underlying adaptation, several key conclusions can be drawn from this review. First, a fundamental relationship exists between strength and power, which dictates that an individual cannot possess a high level of power without first being relatively strong. Thus, enhancing and maintaining maximal strength is essential when considering the long-term development of power. Second, consideration of movement pattern, load and velocity specificity is essential when designing power training programmes. Ballistic, plyometric and weightlifting exercises can be used effectively as primary exercises within a power training programme that enhances maximal power. The loads applied to these exercises will depend on the specific requirements of each particular sport and the type of movement being trained. The use of ballistic exercises with loads ranging from 0% to 50% of one-repetition maximum (1RM) and/or weightlifting exercises performed with loads ranging from 50% to 90% of 1RM appears to be the most potent loading stimulus for improving maximal power in complex movements. Furthermore, plyometric exercises should involve stretch rates as well as stretch loads that are similar to those encountered in each specific sport and involve little to no external resistance. These loading conditions allow for superior transfer to performance because they require similar movement velocities to those typically encountered in sport. Third, it is vital to consider the individual athlete's window of adaptation (i.e. the magnitude of potential for improvement) for each neuromuscular factor contributing to maximal power production when developing an effective and efficient power training programme. A training programme that focuses on the least developed factor contributing to maximal power will prompt the greatest neuromuscular adaptations and therefore result in superior performance improvements for that individual. Finally, a key consideration for the long-term development of an athlete's maximal power production capacity is the need for an integration of numerous power training techniques. This integration allows for variation within power meso-/micro-cycles while still maintaining specificity, which is theorized to lead to the greatest long-term improvement in maximal power.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 701 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 <1%
United Kingdom 2 <1%
Germany 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 691 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 127 18%
Student > Bachelor 104 15%
Student > Ph. D. Student 70 10%
Researcher 43 6%
Student > Postgraduate 34 5%
Other 127 18%
Unknown 196 28%
Readers by discipline Count As %
Sports and Recreations 341 49%
Medicine and Dentistry 47 7%
Nursing and Health Professions 26 4%
Agricultural and Biological Sciences 21 3%
Social Sciences 11 2%
Other 42 6%
Unknown 213 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2024.
All research outputs
#1,322,251
of 25,481,734 outputs
Outputs from Sports Medicine
#1,090
of 2,883 outputs
Outputs of similar age
#8,144
of 192,800 outputs
Outputs of similar age from Sports Medicine
#151
of 832 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.0. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 192,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 832 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.