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Eccentric Training Improves Body Composition by Inducing Mechanical and Metabolic Adaptations: A Promising Approach for Overweight and Obese Individuals

Overview of attention for article published in Frontiers in Physiology, August 2018
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  • 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 (95th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
72 X users
video
1 YouTube creator

Citations

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37 Dimensions

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157 Mendeley
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Title
Eccentric Training Improves Body Composition by Inducing Mechanical and Metabolic Adaptations: A Promising Approach for Overweight and Obese Individuals
Published in
Frontiers in Physiology, August 2018
DOI 10.3389/fphys.2018.01013
Pubmed ID
Authors

Valérie Julian, David Thivel, Frédéric Costes, Julianne Touron, Yves Boirie, Bruno Pereira, Hélène Perrault, Martine Duclos, Ruddy Richard

Abstract

Skeletal muscle generates force by either shortening (concentrically) or lengthening (eccentrically). Eccentric (ECC) exercise is characterized by a lower metabolic demand and requires less muscle activity than concentric (CON) exercise at the same level of exerted force. However, the specific effect of ECC training vs. CON training on lean and fat mass remains underexplored. The first aim of this paper was to review the available evidence regarding the effects of ECC training on whole body and segmental lean and fat mass and, when possible, compare these with the effects of CON training. The second aim was to provide some insights into the main mechanical, physiological, and metabolic adaptations of ECC training that contribute to its effects on body composition. The third aim was to determine the beneficial effects of ECC exercise on health-related parameters in overweight and obese patients. ECC training is an effective modality to improve lean mass, but when matched for load or work, the difference between ECC and CON trainings seems unclear. A few studies reported that ECC training is also efficient at reducing fat mass. By increasing post-exercise resting energy expenditure, modifying metabolic substrate, and improving both blood lipid profile and insulin resistance, ECC training is a potential exercise modality for individuals with chronic conditions such as those who are overweight and obese. Further investigations using standardized experimental conditions, examining not only segmental but also whole body composition, are required to compare ECC and CON trainings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 72 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 14%
Student > Master 19 12%
Student > Ph. D. Student 17 11%
Student > Doctoral Student 11 7%
Researcher 11 7%
Other 29 18%
Unknown 48 31%
Readers by discipline Count As %
Sports and Recreations 53 34%
Medicine and Dentistry 15 10%
Nursing and Health Professions 14 9%
Biochemistry, Genetics and Molecular Biology 6 4%
Agricultural and Biological Sciences 4 3%
Other 10 6%
Unknown 55 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 13 July 2023.
All research outputs
#708,213
of 25,399,318 outputs
Outputs from Frontiers in Physiology
#379
of 15,641 outputs
Outputs of similar age
#15,101
of 340,825 outputs
Outputs of similar age from Frontiers in Physiology
#24
of 488 outputs
Altmetric has tracked 25,399,318 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 15,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 97% 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 340,825 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 488 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.