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Effects of aging, exercise, and disease on force transfer in skeletal muscle

Overview of attention for article published in American Journal of Physiology: Endocrinology & Metabolism, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 4,813)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
244 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
262 Mendeley
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Article details
Title
Effects of aging, exercise, and disease on force transfer in skeletal muscle
Published in
American Journal of Physiology: Endocrinology & Metabolism, May 2015
DOI 10.1152/ajpendo.00095.2015
Pubmed ID
Authors
Abstract

The loss of muscle strength and increased injury rate in aging skeletal muscle has previously been attributed to loss of muscle protein (cross-sectional area) and/or decreased neural activation. However, it is becoming clear that force transfer within and between fibers plays a significant role in this process as well. Force transfer involves a secondary matrix of proteins that align and transmit the force produced by the thick and thin filaments along muscle fibers and out to the extracellular matrix. These specialized networks of cytoskeletal proteins aid in passing force through the muscle and also serve to protect individual fibers from injury. This review will discuss the cytoskeleton proteins that have been identified as playing a role in muscle force transmission, both longitudinally and laterally, and where possible highlight how disease, aging and exercise influence the expression and function of these proteins.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 244 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 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 <1%
United States 1 <1%
Turkey 1 <1%
Netherlands 1 <1%
Finland 1 <1%
Brazil 1 <1%
Unknown 255 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 46 18%
Student > Bachelor 41 16%
Student > Master 33 13%
Researcher 32 12%
Student > Doctoral Student 15 6%
Other 47 18%
Unknown 48 18%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 77 29%
Biochemistry, Genetics and Molecular Biology 32 12%
Medicine and Dentistry 29 11%
Agricultural and Biological Sciences 28 11%
Nursing and Health Professions 13 5%
Other 29 11%
Unknown 54 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 10 September 2020.
All research outputs
#361,114
of 34,325,395 outputs
Outputs from American Journal of Physiology: Endocrinology & Metabolism
#50
of 4,813 outputs
Outputs of similar age
#3,184
of 307,544 outputs
Outputs of similar age from American Journal of Physiology: Endocrinology & Metabolism
#1
of 43 outputs
Altmetric has tracked 34,325,395 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 4,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. 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 307,544 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 43 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.