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The Effect of Inter-Set Rest Intervals on Resistance Exercise-Induced Muscle Hypertrophy

Overview of attention for article published in Sports Medicine, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
152 tweeters
facebook
37 Facebook pages
googleplus
2 Google+ users
q&a
1 Q&A thread
video
22 video uploaders

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
343 Mendeley
Title
The Effect of Inter-Set Rest Intervals on Resistance Exercise-Induced Muscle Hypertrophy
Published in
Sports Medicine, July 2014
DOI 10.1007/s40279-014-0228-0
Pubmed ID
Authors

Menno Henselmans, Brad J. Schoenfeld

Abstract

Due to a scarcity of longitudinal trials directly measuring changes in muscle girth, previous recommendations for inter-set rest intervals in resistance training programs designed to stimulate muscular hypertrophy were primarily based on the post-exercise endocrinological response and other mechanisms theoretically related to muscle growth. New research regarding the effects of inter-set rest interval manipulation on resistance training-induced muscular hypertrophy is reviewed here to evaluate current practices and provide directions for future research. Of the studies measuring long-term muscle hypertrophy in groups employing different rest intervals, none have found superior muscle growth in the shorter compared with the longer rest interval group and one study has found the opposite. Rest intervals less than 1 minute can result in acute increases in serum growth hormone levels and these rest intervals also decrease the serum testosterone to cortisol ratio. Long-term adaptations may abate the post-exercise endocrinological response and the relationship between the transient change in hormonal production and chronic muscular hypertrophy is highly contentious and appears to be weak. The relationship between the rest interval-mediated effect on immune system response, muscle damage, metabolic stress, or energy production capacity and muscle hypertrophy is still ambiguous and largely theoretical. In conclusion, the literature does not support the hypothesis that training for muscle hypertrophy requires shorter rest intervals than training for strength development or that predetermined rest intervals are preferable to auto-regulated rest periods in this regard.

Twitter Demographics

The data shown below were collected from the profiles of 152 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 1%
United States 3 <1%
Norway 2 <1%
Canada 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Singapore 1 <1%
Denmark 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 326 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 73 21%
Student > Master 73 21%
Student > Ph. D. Student 32 9%
Other 30 9%
Researcher 22 6%
Other 77 22%
Unknown 36 10%
Readers by discipline Count As %
Sports and Recreations 177 52%
Medicine and Dentistry 36 10%
Agricultural and Biological Sciences 33 10%
Nursing and Health Professions 16 5%
Social Sciences 8 2%
Other 30 9%
Unknown 43 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 18 May 2020.
All research outputs
#160,546
of 15,099,613 outputs
Outputs from Sports Medicine
#152
of 2,266 outputs
Outputs of similar age
#2,220
of 194,369 outputs
Outputs of similar age from Sports Medicine
#6
of 35 outputs
Altmetric has tracked 15,099,613 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,266 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.3. This one has done particularly well, scoring higher than 93% 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 194,369 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 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.