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Quadratus femoris: An EMG investigation during walking and running

Overview of attention for article published in Journal of Biomechanics, June 2015
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Quadratus femoris: An EMG investigation during walking and running
Published in
Journal of Biomechanics, June 2015
DOI 10.1016/j.jbiomech.2015.05.029
Pubmed ID
Authors

Adam I. Semciw, Michael Freeman, Breanne E. Kunstler, M. Dilani Mendis, Tania Pizzari

Abstract

Dysfunction of hip stabilizing muscles such as quadratus femoris (QF) is identified as a potential source of lower extremity injury during functional tasks like running. Despite these assumptions, there are currently no electromyography (EMG) data that establish the burst activity profile of QF during any functional task like walking or running. The objectives of this study were to characterize and compare the EMG activity profile of QF while walking and running (primary aim) and describe the direction specific action of QF (secondary aim). A bipolar fine-wire intramuscular electrode was inserted via ultrasound guidance into the QF of 10 healthy participants (4 females). Ensemble curves were generated from four walking and running trials, and normalized to maximum voluntary isometric contractions (MVICs). Paired t-tests compared the temporal and amplitude EMG variables. The relative activity of QF in the MVICs was calculated. The QF displayed moderate to high amplitude activity in the stance phase of walking and very high activity during stance in running. During swing, there was minimal QF activity recorded during walking and high amplitudes were present while running (run vs walk effect size=4.23, P<0.001). For the MVICs, external rotation and clam produced the greatest QF activity, with the hip in the anatomical position. This study provides an understanding of the activity demands placed on QF while walking and running. The high activity in late swing during running may signify a synergistic role with other posterior thigh muscles to control deceleration of the limb in preparation for stance.

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X Demographics

The data shown below were collected from the profiles of 11 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
New Zealand 1 1%
Unknown 92 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Student > Bachelor 16 17%
Student > Doctoral Student 8 9%
Student > Ph. D. Student 7 7%
Researcher 6 6%
Other 13 14%
Unknown 25 27%
Readers by discipline Count As %
Medicine and Dentistry 18 19%
Sports and Recreations 17 18%
Nursing and Health Professions 16 17%
Engineering 7 7%
Agricultural and Biological Sciences 3 3%
Other 6 6%
Unknown 27 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 17 September 2017.
All research outputs
#6,480,091
of 25,701,027 outputs
Outputs from Journal of Biomechanics
#1,498
of 5,392 outputs
Outputs of similar age
#68,901
of 279,412 outputs
Outputs of similar age from Journal of Biomechanics
#12
of 49 outputs
Altmetric has tracked 25,701,027 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 5,392 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 72% 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 279,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.