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Muscle Atrophy Induced by Mechanical Unloading: Mechanisms and Potential Countermeasures

Overview of attention for article published in Frontiers in Physiology, March 2018
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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5 news outlets
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74 X users
facebook
1 Facebook page
video
1 YouTube creator

Citations

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187 Dimensions

Readers on

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332 Mendeley
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Title
Muscle Atrophy Induced by Mechanical Unloading: Mechanisms and Potential Countermeasures
Published in
Frontiers in Physiology, March 2018
DOI 10.3389/fphys.2018.00235
Pubmed ID
Authors

Yunfang Gao, Yasir Arfat, Huiping Wang, Nandu Goswami

Abstract

Prolonged periods of skeletal muscle inactivity or mechanical unloading (bed rest, hindlimb unloading, immobilization, spaceflight and reduced step) can result in a significant loss of musculoskeletal mass, size and strength which ultimately lead to muscle atrophy. With advancement in understanding of the molecular and cellular mechanisms involved in disuse skeletal muscle atrophy, several different signaling pathways have been studied to understand their regulatory role in this process. However, substantial gaps exist in our understanding of the regulatory mechanisms involved, as well as their functional significance. This review aims to update the current state of knowledge and the underlying cellular mechanisms related to skeletal muscle loss during a variety of unloading conditions, both in humans and animals. Recent advancements in understanding of cellular and molecular mechanisms, including IGF1-Akt-mTOR, MuRF1/MAFbx, FOXO, and potential triggers of disuse atrophy, such as calcium overload and ROS overproduction, as well as their role in skeletal muscle protein adaptation to disuse is emphasized. We have also elaborated potential therapeutic countermeasures that have shown promising results in preventing and restoring disuse-induced muscle loss. Finally, identified are the key challenges in this field as well as some future prospectives.

X Demographics

X Demographics

The data shown below were collected from the profiles of 74 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 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 332 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 45 14%
Student > Master 41 12%
Researcher 40 12%
Student > Ph. D. Student 40 12%
Student > Doctoral Student 17 5%
Other 43 13%
Unknown 106 32%
Readers by discipline Count As %
Medicine and Dentistry 52 16%
Biochemistry, Genetics and Molecular Biology 48 14%
Sports and Recreations 34 10%
Nursing and Health Professions 22 7%
Agricultural and Biological Sciences 15 5%
Other 38 11%
Unknown 123 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 January 2024.
All research outputs
#577,306
of 26,080,956 outputs
Outputs from Frontiers in Physiology
#308
of 15,760 outputs
Outputs of similar age
#12,968
of 351,519 outputs
Outputs of similar age from Frontiers in Physiology
#10
of 420 outputs
Altmetric has tracked 26,080,956 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 15,760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 98% 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 351,519 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 420 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.