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Dove Medical Press

Intramyocellular lipids of muscle type in athletes of different sport disciplines

Overview of attention for article published in Open Access Journal of Sports Medicine, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Intramyocellular lipids of muscle type in athletes of different sport disciplines
Published in
Open Access Journal of Sports Medicine, July 2017
DOI 10.2147/oajsm.s139801
Pubmed ID
Authors

Yoshinao Nakagawa, Masaaki Hattori

Abstract

The present study used magnetic resonance spectroscopy ((1)H-MRS) to examine quantitative differences in intramyocellular lipid (IMCL) contents in various muscle types at rest for individual athletes from different sport disciplines. Five groups consisting of sprinters, alpine skiers, cross-country skiers, endurance runners and untrained healthy male subjects volunteered for this study. Data were acquired using (1)H-MRS from the tibialis anterior (TA), medial gastrocnemius (MG) and soleus (SOL) muscles. No significant difference was found in the cross-sectional area (CSA) of the TA, MG and SOL muscles, whereas the CSA of subcutaneous fat was significantly lower (p<0.01) for each athlete group compared with untrained subjects. In both TA and MG, IMCL concentrations in endurance runners were significantly higher than those of alpine skiers (p<0.01), sprinters (p<0.01) and untrained subjects (p<0.05). The IMCL concentrations in TA and MG of cross-country skiers were significantly higher than those of alpine skiers (p<0.05) and sprinters (TA, p<0.01; MG, p<0.05). There was no significant difference in the IMCL concentrations of TA and MG between alpine skiers or sprinters and untrained subjects. The IMCL concentration in SOL was significantly greater in endurance runners and showed no difference in cross-country skiers compared with that in alpine skiers and sprinters. There was no significant difference in the IMCL concentration of SOL between athletes and untrained subjects. These results suggest that differences in IMCL contents stored in various muscle types for athletes at rest are associated with the muscle cellular adaptation for differences in the type of exercise training and/or muscle fiber composition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Student > Ph. D. Student 6 14%
Researcher 5 12%
Professor 4 9%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 12 28%
Readers by discipline Count As %
Sports and Recreations 12 28%
Biochemistry, Genetics and Molecular Biology 4 9%
Medicine and Dentistry 4 9%
Agricultural and Biological Sciences 3 7%
Engineering 2 5%
Other 3 7%
Unknown 15 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 October 2019.
All research outputs
#8,283,940
of 24,787,209 outputs
Outputs from Open Access Journal of Sports Medicine
#134
of 254 outputs
Outputs of similar age
#122,705
of 319,117 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#5
of 7 outputs
Altmetric has tracked 24,787,209 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 319,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.