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Utilizing small nutrient compounds as enhancers of exercise-induced mitochondrial biogenesis

Overview of attention for article published in Frontiers in Physiology, October 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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133 X users
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1 Facebook page

Citations

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27 Dimensions

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173 Mendeley
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Title
Utilizing small nutrient compounds as enhancers of exercise-induced mitochondrial biogenesis
Published in
Frontiers in Physiology, October 2015
DOI 10.3389/fphys.2015.00296
Pubmed ID
Authors

Daniel M. Craig, Stephen P. Ashcroft, Micah Y. Belew, Ben Stocks, Kevin Currell, Keith Baar, Andrew Philp

Abstract

Endurance exercise, when performed regularly as part of a training program, leads to increases in whole-body and skeletal muscle-specific oxidative capacity. At the cellular level, this adaptive response is manifested by an increased number of oxidative fibers (Type I and IIA myosin heavy chain), an increase in capillarity and an increase in mitochondrial biogenesis. The increase in mitochondrial biogenesis (increased volume and functional capacity) is fundamentally important as it leads to greater rates of oxidative phosphorylation and an improved capacity to utilize fatty acids during sub-maximal exercise. Given the importance of mitochondrial biogenesis for skeletal muscle performance, considerable attention has been given to understanding the molecular cues stimulated by endurance exercise that culminate in this adaptive response. In turn, this research has led to the identification of pharmaceutical compounds and small nutritional bioactive ingredients that appear able to amplify exercise-responsive signaling pathways in skeletal muscle. The aim of this review is to discuss these purported exercise mimetics and bioactive ingredients in the context of mitochondrial biogenesis in skeletal muscle. We will examine proposed modes of action, discuss evidence of application in skeletal muscle in vivo and finally comment on the feasibility of such approaches to support endurance-training applications in humans.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 133 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Spain 2 1%
Brazil 2 1%
Turkey 1 <1%
Chile 1 <1%
United States 1 <1%
Unknown 162 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 17%
Student > Master 28 16%
Student > Bachelor 25 14%
Researcher 24 14%
Professor 8 5%
Other 28 16%
Unknown 30 17%
Readers by discipline Count As %
Sports and Recreations 37 21%
Medicine and Dentistry 27 16%
Agricultural and Biological Sciences 25 14%
Biochemistry, Genetics and Molecular Biology 23 13%
Nursing and Health Professions 13 8%
Other 14 8%
Unknown 34 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 13 December 2017.
All research outputs
#601,227
of 26,613,602 outputs
Outputs from Frontiers in Physiology
#328
of 15,918 outputs
Outputs of similar age
#8,574
of 295,865 outputs
Outputs of similar age from Frontiers in Physiology
#3
of 113 outputs
Altmetric has tracked 26,613,602 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,918 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 97% 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 295,865 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 97% of its contemporaries.
We're also able to compare this research output to 113 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 97% of its contemporaries.