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Genetic variation and exercise-induced muscle damage: implications for athletic performance, injury and ageing

Overview of attention for article published in European Journal of Applied Physiology, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 4,372)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
18 news outlets
blogs
3 blogs
twitter
78 X users
video
2 YouTube creators

Citations

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123 Dimensions

Readers on

mendeley
470 Mendeley
Title
Genetic variation and exercise-induced muscle damage: implications for athletic performance, injury and ageing
Published in
European Journal of Applied Physiology, June 2016
DOI 10.1007/s00421-016-3411-1
Pubmed ID
Authors

Philipp Baumert, Mark J. Lake, Claire E. Stewart, Barry Drust, Robert M. Erskine

Abstract

Prolonged unaccustomed exercise involving muscle lengthening (eccentric) actions can result in ultrastructural muscle disruption, impaired excitation-contraction coupling, inflammation and muscle protein degradation. This process is associated with delayed onset muscle soreness and is referred to as exercise-induced muscle damage. Although a certain amount of muscle damage may be necessary for adaptation to occur, excessive damage or inadequate recovery from exercise-induced muscle damage can increase injury risk, particularly in older individuals, who experience more damage and require longer to recover from muscle damaging exercise than younger adults. Furthermore, it is apparent that inter-individual variation exists in the response to exercise-induced muscle damage, and there is evidence that genetic variability may play a key role. Although this area of research is in its infancy, certain gene variations, or polymorphisms have been associated with exercise-induced muscle damage (i.e. individuals with certain genotypes experience greater muscle damage, and require longer recovery, following strenuous exercise). These polymorphisms include ACTN3 (R577X, rs1815739), TNF (-308 G>A, rs1800629), IL6 (-174 G>C, rs1800795), and IGF2 (ApaI, 17200 G>A, rs680). Knowing how someone is likely to respond to a particular type of exercise could help coaches/practitioners individualise the exercise training of their athletes/patients, thus maximising recovery and adaptation, while reducing overload-associated injury risk. The purpose of this review is to provide a critical analysis of the literature concerning gene polymorphisms associated with exercise-induced muscle damage, both in young and older individuals, and to highlight the potential mechanisms underpinning these associations, thus providing a better understanding of exercise-induced muscle damage.

X Demographics

X Demographics

The data shown below were collected from the profiles of 78 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 470 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 467 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 76 16%
Student > Bachelor 59 13%
Student > Ph. D. Student 53 11%
Researcher 43 9%
Other 24 5%
Other 87 19%
Unknown 128 27%
Readers by discipline Count As %
Sports and Recreations 120 26%
Biochemistry, Genetics and Molecular Biology 51 11%
Medicine and Dentistry 49 10%
Agricultural and Biological Sciences 35 7%
Nursing and Health Professions 33 7%
Other 37 8%
Unknown 145 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 195. 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 22 May 2022.
All research outputs
#205,020
of 25,582,611 outputs
Outputs from European Journal of Applied Physiology
#45
of 4,372 outputs
Outputs of similar age
#3,975
of 369,057 outputs
Outputs of similar age from European Journal of Applied Physiology
#3
of 50 outputs
Altmetric has tracked 25,582,611 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done particularly well, scoring higher than 98% 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 369,057 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 98% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.