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Tensiomyography method used for neuromuscular assessment of muscle training

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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6 X users
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1 Facebook page

Citations

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56 Dimensions

Readers on

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188 Mendeley
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Title
Tensiomyography method used for neuromuscular assessment of muscle training
Published in
Journal of NeuroEngineering and Rehabilitation, July 2013
DOI 10.1186/1743-0003-10-67
Pubmed ID
Authors

Ligia D Rusu, Germina GH Cosma, Sorina M Cernaianu, Mihnea N Marin, PetreFlorinel A Rusu, Daniel P Ciocănescu, Florin N Neferu

Abstract

Within the structure of the skeletal muscle, there are fascicles of muscular fibers that are made up of serially distributed contractile elements. These elements are controlled by the nervous system, control which results in obtaining the muscular strength required for movement and its control. This study presents the neuromuscular assessment using tensiomyography method (TMG).

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Netherlands 1 <1%
United States 1 <1%
Unknown 184 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 14%
Student > Ph. D. Student 23 12%
Student > Master 22 12%
Researcher 16 9%
Student > Postgraduate 14 7%
Other 40 21%
Unknown 47 25%
Readers by discipline Count As %
Sports and Recreations 64 34%
Medicine and Dentistry 28 15%
Nursing and Health Professions 13 7%
Engineering 8 4%
Social Sciences 7 4%
Other 13 7%
Unknown 55 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 May 2016.
All research outputs
#6,528,938
of 25,374,647 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#371
of 1,413 outputs
Outputs of similar age
#51,516
of 206,389 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#5
of 43 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,413 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 gotten more attention than average, scoring higher than 73% 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 206,389 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% 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 well, scoring higher than 88% of its contemporaries.