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Mendeley readers
Attention Score in Context
| Title |
The Acute Satellite Cell Response and Skeletal Muscle Hypertrophy following Resistance Training
|
|---|---|
| Published in |
PLOS ONE, October 2014
|
| DOI | 10.1371/journal.pone.0109739 |
| Pubmed ID | |
| Authors |
Leeann M. Bellamy, Sophie Joanisse, Amanda Grubb, Cameron J. Mitchell, Bryon R. McKay, Stuart M. Phillips, Steven Baker, Gianni Parise |
| Abstract |
The extent of skeletal muscle hypertrophy in response to resistance training is highly variable in humans. The main objective of this study was to explain the nature of this variability. More specifically, we focused on the myogenic stem cell population, the satellite cell (SC) as a potential mediator of hypertrophy. Twenty-three males (aged 18-35 yrs) participated in 16 wk of progressive, whole body resistance training, resulting in changes of 7.9±1.6% (range of -1.9-24.7%) and 21.0±4.0% (range of -7.0 to 51.7%) in quadriceps volume and myofibre cross-sectional area (CSA), respectively. The SC response to a single bout of resistance exercise (80% 1RM), analyzed via immunofluorescent staining resulted in an expansion of type II fibre associated SC 72 h following exercise (pre: 11.3±0.9; 72 h: 14.8±1.4 SC/type II fibre; p<0.05). Training resulted in an expansion of the SC pool associated with type I (pre: 10.7±1.1; post: 12.1±1.2 SC/type I fibre; p<0.05) and type II fibres (pre: 11.3±0.9; post: 13.0±1.2 SC/type II fibre; p<0.05). Analysis of individual SC responses revealed a correlation between the relative change in type I associated SC 24 to 72 hours following an acute bout of resistance exercise and the percentage increase in quadriceps lean tissue mass assessed by MRI (r2 = 0.566, p = 0.012) and the relative change in type II associated SC following 16 weeks of resistance training and the percentage increase in quadriceps lean tissue mass assessed by MRI (r2 = 0.493, p = 0.027). Our results suggest that the SC response to resistance exercise is related to the extent of muscular hypertrophy induced by training. |
X Demographics
The data shown below were collected from the profiles of 81 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 22% |
| United Kingdom | 11 | 14% |
| Spain | 6 | 7% |
| Brazil | 4 | 5% |
| Canada | 4 | 5% |
| Chile | 2 | 2% |
| Norway | 2 | 2% |
| Guatemala | 1 | 1% |
| Australia | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 24 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 68% |
| Scientists | 18 | 22% |
| Practitioners (doctors, other healthcare professionals) | 5 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Unknown | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 1% |
| United Kingdom | 2 | <1% |
| Norway | 2 | <1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 269 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 61 | 22% |
| Student > Bachelor | 43 | 15% |
| Student > Ph. D. Student | 33 | 12% |
| Researcher | 28 | 10% |
| Student > Doctoral Student | 20 | 7% |
| Other | 49 | 17% |
| Unknown | 48 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 80 | 28% |
| Agricultural and Biological Sciences | 35 | 12% |
| Biochemistry, Genetics and Molecular Biology | 31 | 11% |
| Medicine and Dentistry | 31 | 11% |
| Nursing and Health Professions | 17 | 6% |
| Other | 24 | 9% |
| Unknown | 64 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 31 August 2017.
All research outputs
#863,559
of 25,870,940 outputs
Outputs from PLOS ONE
#11,269
of 225,646 outputs
Outputs of similar age
#9,128
of 269,281 outputs
Outputs of similar age from PLOS ONE
#269
of 5,093 outputs
Altmetric has tracked 25,870,940 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 225,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 95% 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 269,281 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 96% of its contemporaries.
We're also able to compare this research output to 5,093 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 94% of its contemporaries.