↓ Skip to main content

Skeletal muscle mechanics: questions, problems and possible solutions

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, September 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,393)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
54 X users
facebook
5 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
245 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Skeletal muscle mechanics: questions, problems and possible solutions
Published in
Journal of NeuroEngineering and Rehabilitation, September 2017
DOI 10.1186/s12984-017-0310-6
Pubmed ID
Authors

Walter Herzog

Abstract

Skeletal muscle mechanics have been studied ever since people have shown an interest in human movement. However, our understanding of muscle contraction and muscle mechanical properties has changed fundamentally with the discovery of the sliding filament theory in 1954 and associated cross-bridge theory in 1957. Nevertheless, experimental evidence suggests that our knowledge of the mechanisms of contraction is far from complete, and muscle properties and muscle function in human movement remain largely unknown.In this manuscript, I am trying to identify some of the crucial challenges we are faced with in muscle mechanics, offer possible solutions to questions, and identify problems that might be worthwhile exploring in the future. Since it is impossible to tackle all (worthwhile) problems in a single manuscript, I identified three problems that are controversial, important, and close to my heart. They may be identified as follows: (i) mechanisms of muscle contraction, (ii) in vivo whole muscle mechanics and properties, and (iii) force-sharing among synergistic muscles. These topics are fundamental to our understanding of human movement and movement control, and they contain a series of unknowns and challenges to be explored in the future.It is my hope that this paper may serve as an inspiration for some, may challenge current beliefs in selected areas, tackle important problems in the area of muscle mechanics, physiology and movement control, and may guide and focus some of the thinking of future muscle mechanics research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 245 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 22%
Student > Master 37 15%
Student > Bachelor 29 12%
Researcher 23 9%
Professor 16 7%
Other 36 15%
Unknown 50 20%
Readers by discipline Count As %
Sports and Recreations 52 21%
Engineering 46 19%
Medicine and Dentistry 24 10%
Agricultural and Biological Sciences 17 7%
Nursing and Health Professions 11 4%
Other 25 10%
Unknown 70 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 06 November 2020.
All research outputs
#1,183,059
of 25,097,836 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#37
of 1,393 outputs
Outputs of similar age
#21,979
of 295,035 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 27 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,393 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 295,035 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 92% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.