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MicroRNAs in skeletal muscle and their regulation with exercise, ageing, and disease

Overview of attention for article published in Frontiers in Physiology, January 2013
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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10 X users
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1 Facebook page
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1 Google+ user
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1 research highlight platform

Citations

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85 Dimensions

Readers on

mendeley
175 Mendeley
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1 CiteULike
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Title
MicroRNAs in skeletal muscle and their regulation with exercise, ageing, and disease
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00266
Pubmed ID
Authors

Evelyn Zacharewicz, Séverine Lamon, Aaron P Russell

Abstract

Skeletal muscle makes up approximately 40% of the total body mass, providing structural support and enabling the body to maintain posture, to control motor movements and to store energy. It therefore plays a vital role in whole body metabolism. Skeletal muscle displays remarkable plasticity and is able to alter its size, structure and function in response to various stimuli; an essential quality for healthy living across the lifespan. Exercise is an important stimulator of extracellular and intracellular stress signals that promote positive adaptations in skeletal muscle. These adaptations are controlled by changes in gene transcription and protein translation, with many of these molecules identified as potential therapeutic targets to pharmacologically improve muscle quality in patient groups too ill to exercise. MicroRNAs (miRNAs) are recently identified regulators of numerous gene networks and pathways and mainly exert their effect by binding to their target messenger RNAs (mRNAs), resulting in mRNA degradation or preventing protein translation. The role of exercise as a regulatory stimulus of skeletal muscle miRNAs is now starting to be investigated. This review highlights our current understanding of the regulation of skeletal muscle miRNAs with exercise and disease as well as how they may control skeletal muscle health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Denmark 2 1%
United Kingdom 2 1%
Chile 1 <1%
Portugal 1 <1%
Germany 1 <1%
Unknown 166 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 22%
Student > Master 34 19%
Researcher 29 17%
Student > Bachelor 19 11%
Student > Doctoral Student 14 8%
Other 21 12%
Unknown 20 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 30%
Biochemistry, Genetics and Molecular Biology 45 26%
Medicine and Dentistry 21 12%
Sports and Recreations 13 7%
Neuroscience 5 3%
Other 15 9%
Unknown 24 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 August 2017.
All research outputs
#4,718,485
of 25,067,172 outputs
Outputs from Frontiers in Physiology
#2,433
of 15,396 outputs
Outputs of similar age
#47,006
of 293,390 outputs
Outputs of similar age from Frontiers in Physiology
#74
of 398 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,396 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 84% 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 293,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 398 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.