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Exercise training response heterogeneity: physiological and molecular insights

Overview of attention for article published in Diabetologia, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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104 X users
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1 Facebook page

Citations

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113 Dimensions

Readers on

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184 Mendeley
Title
Exercise training response heterogeneity: physiological and molecular insights
Published in
Diabetologia, October 2017
DOI 10.1007/s00125-017-4461-6
Pubmed ID
Authors

Lauren M. Sparks

Abstract

The overall beneficial effects of exercise are well studied, but why some people do not respond favourably to exercise is less understood. The National Institutes of Health Common Fund has recently launched the large-scale discovery project 'Molecular Transducers of Physical Activity in Humans' to examine the physiological and molecular (i.e. genetic, epigenetic, lipidomic, metabolomic, proteomic, etc.) responses to exercise training. A nationwide, multicentre clinical trial such as this one also provides a unique opportunity to robustly investigate the non-response to exercise in thousands of individuals that have undergone supervised aerobic- and resistance-based exercise training interventions. The term 'non-responder' is used here to address the lack of a response (to an exercise intervention) in an outcome specified a priori. Cardiorespiratory fitness ([Formula: see text]) as an exercise response variable was recently reviewed; thus, this review focuses on metabolic aspects of the non-response to exercise training. Integrated -omics platforms are discussed as an approach to disentangle the complicated relationships between endogenous and exogenous factors that drive the lack of a response to exercise in some individuals. Harnessing the power of combined -omics platforms with deep clinical phenotyping of human study participants will advance the field of exercise metabolism and shift the paradigm, allowing exercise interventions to be targeted at those most likely to benefit and identifying novel approaches to treat those who do not.

X Demographics

X Demographics

The data shown below were collected from the profiles of 104 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 184 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 17%
Researcher 29 16%
Student > Master 23 13%
Student > Bachelor 14 8%
Student > Doctoral Student 11 6%
Other 31 17%
Unknown 44 24%
Readers by discipline Count As %
Sports and Recreations 35 19%
Medicine and Dentistry 33 18%
Biochemistry, Genetics and Molecular Biology 22 12%
Nursing and Health Professions 13 7%
Agricultural and Biological Sciences 13 7%
Other 14 8%
Unknown 54 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 October 2020.
All research outputs
#751,295
of 25,732,188 outputs
Outputs from Diabetologia
#388
of 5,376 outputs
Outputs of similar age
#15,709
of 337,559 outputs
Outputs of similar age from Diabetologia
#12
of 88 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one has done particularly well, scoring higher than 92% 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 337,559 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 95% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.