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Changes in agonist neural drive, hypertrophy and pre-training strength all contribute to the individual strength gains after resistance training

Overview of attention for article published in European Journal of Applied Physiology, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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44 X users
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Citations

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237 Mendeley
Title
Changes in agonist neural drive, hypertrophy and pre-training strength all contribute to the individual strength gains after resistance training
Published in
European Journal of Applied Physiology, February 2017
DOI 10.1007/s00421-017-3560-x
Pubmed ID
Authors

Thomas G. Balshaw, Garry J. Massey, Thomas M. Maden-Wilkinson, Antonio J. Morales-Artacho, Alexandra McKeown, Clare L. Appleby, Jonathan P. Folland

Abstract

Whilst neural and morphological adaptations following resistance training (RT) have been investigated extensively at a group level, relatively little is known about the contribution of specific physiological mechanisms, or pre-training strength, to the individual changes in strength following training. This study investigated the contribution of multiple underpinning neural [agonist EMG (QEMGMVT), antagonist EMG (HEMGANTAG)] and morphological variables [total quadriceps volume (QUADSVOL), and muscle fascicle pennation angle (QUADSθ p)], as well as pre-training strength, to the individual changes in strength after 12 weeks of knee extensor RT. Twenty-eight healthy young men completed 12 weeks of isometric knee extensor RT (3/week). Isometric maximum voluntary torque (MVT) was assessed pre- and post-RT, as were simultaneous neural drive to the agonist (QEMGMVT) and antagonist (HEMGANTAG). In addition QUADSVOL was determined with MRI and QUADSθ p with B-mode ultrasound. Percentage changes (∆) in MVT were correlated to ∆QEMGMVT (r = 0.576, P = 0.001), ∆QUADSVOL (r = 0.461, P = 0.014), and pre-training MVT (r = -0.429, P = 0.023), but not ∆HEMGANTAG (r = 0.298, P = 0.123) or ∆QUADSθ p (r = -0.207, P = 0.291). Multiple regression analysis revealed 59.9% of the total variance in ∆MVT after RT to be explained by ∆QEMGMVT (30.6%), ∆QUADSVOL (18.7%), and pre-training MVT (10.6%). Changes in agonist neural drive, quadriceps muscle volume and pre-training strength combined to explain the majority of the variance in strength changes after knee extensor RT (~60%) and adaptations in agonist neural drive were the most important single predictor during this short-term intervention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 237 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 16%
Student > Bachelor 34 14%
Student > Ph. D. Student 30 13%
Researcher 17 7%
Student > Doctoral Student 13 5%
Other 43 18%
Unknown 61 26%
Readers by discipline Count As %
Sports and Recreations 92 39%
Medicine and Dentistry 15 6%
Nursing and Health Professions 14 6%
Agricultural and Biological Sciences 10 4%
Neuroscience 6 3%
Other 30 13%
Unknown 70 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 05 December 2021.
All research outputs
#1,396,526
of 25,591,967 outputs
Outputs from European Journal of Applied Physiology
#443
of 4,372 outputs
Outputs of similar age
#27,461
of 326,192 outputs
Outputs of similar age from European Journal of Applied Physiology
#20
of 66 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 89% 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 326,192 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 91% of its contemporaries.
We're also able to compare this research output to 66 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 71% of its contemporaries.