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Training to Fatigue: The Answer for Standardization When Assessing Muscle Hypertrophy?

Overview of attention for article published in Sports Medicine, September 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

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71 X users
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9 Facebook pages

Citations

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243 Mendeley
Title
Training to Fatigue: The Answer for Standardization When Assessing Muscle Hypertrophy?
Published in
Sports Medicine, September 2016
DOI 10.1007/s40279-016-0633-7
Pubmed ID
Authors

Scott J. Dankel, Matthew B. Jessee, Kevin T. Mattocks, J. Grant Mouser, Brittany R. Counts, Samuel L. Buckner, Jeremy P. Loenneke

Abstract

Studies examining resistance training are of importance given that increasing or maintaining muscle mass aids in the prevention or attenuation of chronic disease. Within the literature, it is common practice to administer a set number of target repetitions to be completed by all individuals (i.e. 3 sets of 10) while setting the load relative to each individual's predetermined strength level (usually a one-repetition maximum). This is done under the assumption that all individuals are receiving a similar stimulus upon completing the protocol, but this does not take into account individual variability with regard to how fatiguing the protocol actually is. Another limitation that exists within the current literature is the reporting of exercise volume in absolute or relative terms that are not truly replicable as they are both load-dependent and will differ based on the number of repetitions individuals can complete at a given relative load. Given that the level of fatigue caused by an exercise protocol is a good indicator of its hypertrophic potential, the most appropriate way to ensure all individuals are given a common stimulus is to prescribe exercise to volitional fatigue. While some authors commonly employ this practice, others still prescribe an arbitrary number of repetitions, which may lead to unfair comparisons between exercise protocols. The purpose of this opinion piece is to provide evidence for the need to standardize studies examining muscle hypertrophy. In our opinion, one way in which this can be accomplished is by prescribing all sets to volitional fatigue.

X Demographics

X Demographics

The data shown below were collected from the profiles of 71 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Singapore 1 <1%
Unknown 241 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 15%
Student > Ph. D. Student 31 13%
Student > Bachelor 30 12%
Researcher 14 6%
Professor 13 5%
Other 47 19%
Unknown 71 29%
Readers by discipline Count As %
Sports and Recreations 109 45%
Medicine and Dentistry 13 5%
Nursing and Health Professions 11 5%
Agricultural and Biological Sciences 8 3%
Biochemistry, Genetics and Molecular Biology 7 3%
Other 18 7%
Unknown 77 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 01 May 2019.
All research outputs
#949,502
of 25,163,621 outputs
Outputs from Sports Medicine
#840
of 2,896 outputs
Outputs of similar age
#17,495
of 330,138 outputs
Outputs of similar age from Sports Medicine
#18
of 33 outputs
Altmetric has tracked 25,163,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,896 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one has gotten more attention than average, scoring higher than 71% 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 330,138 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 94% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.