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Prediction of muscular architecture of the rectus femoris and vastus lateralis from EMG during isometric contractions in soccer players

Overview of attention for article published in SpringerPlus, October 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 tweeters

Citations

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10 Dimensions

Readers on

mendeley
56 Mendeley
Title
Prediction of muscular architecture of the rectus femoris and vastus lateralis from EMG during isometric contractions in soccer players
Published in
SpringerPlus, October 2013
DOI 10.1186/2193-1801-2-548
Pubmed ID
Authors

Bhawesh Chauhan, Maher A Hamzeh, Antonio I Cuesta-Vargas

Abstract

The purpose of the study was to establish regression equations that could be used to predict muscle thickness and pennation angle at different intensities from electromyography (EMG) based measures of muscle activation during isometric contractions.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
United Kingdom 1 2%
Spain 1 2%
Brazil 1 2%
Unknown 52 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 9 16%
Student > Bachelor 8 14%
Student > Postgraduate 5 9%
Lecturer 5 9%
Other 10 18%
Unknown 8 14%
Readers by discipline Count As %
Sports and Recreations 21 38%
Medicine and Dentistry 8 14%
Engineering 5 9%
Nursing and Health Professions 4 7%
Agricultural and Biological Sciences 3 5%
Other 1 2%
Unknown 14 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 January 2016.
All research outputs
#13,992,713
of 21,732,065 outputs
Outputs from SpringerPlus
#815
of 1,844 outputs
Outputs of similar age
#178,802
of 306,066 outputs
Outputs of similar age from SpringerPlus
#153
of 394 outputs
Altmetric has tracked 21,732,065 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,844 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 55% 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 306,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 394 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.