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Effects of exercise training on intrahepatic lipid content in humans

Overview of attention for article published in Diabetologia, July 2016
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 news outlet
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38 X users
facebook
2 Facebook pages

Citations

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65 Dimensions

Readers on

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126 Mendeley
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1 CiteULike
Title
Effects of exercise training on intrahepatic lipid content in humans
Published in
Diabetologia, July 2016
DOI 10.1007/s00125-016-4037-x
Pubmed ID
Authors

Bram Brouwers, Matthijs K. C. Hesselink, Patrick Schrauwen, Vera B. Schrauwen-Hinderling

Abstract

Non-alcoholic fatty liver (NAFL) is the most common liver disorder in western society. Various factors may play a role in determining hepatic fat content, such as delivery of lipids to the liver, de novo lipogenesis, hepatic lipid oxidation, secretion of intrahepatic lipids to the circulation or a combination of these. If delivery of lipids to the liver outweighs the sum of hepatic lipid oxidation and secretion, the intrahepatic lipid (IHL) content starts to increase and NAFL may develop. NAFL is closely related to obesity and insulin resistance and a fatty liver increases the vulnerability to type 2 diabetes development. Exercise training is a cornerstone in the treatment and prevention of type 2 diabetes. There is a large body of literature describing the beneficial metabolic consequences of exercise training on skeletal muscle metabolism. Recent studies have started to investigate the effects of exercise training on liver metabolism but data is still limited. Here, first, we briefly discuss the routes by which IHL content is modulated. Second, we review whether and how these contributing routes might be modulated by long-term exercise training. Third, we focus on the effects of acute exercise on IHL metabolism, since exercise also might affect hepatic metabolism in the physically active state. This will give insight into whether the effect of exercise training on IHL could be explained by the accumulated effect of acute bouts of exercise, or whether adaptations might occur only after long-term exercise training. The primary focus of this review will be on observations made in humans. Where human data is missing, data obtained from well-accepted animal models will be used.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Unknown 125 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 20%
Student > Master 18 14%
Researcher 17 13%
Student > Ph. D. Student 12 10%
Other 6 5%
Other 16 13%
Unknown 32 25%
Readers by discipline Count As %
Sports and Recreations 27 21%
Medicine and Dentistry 25 20%
Nursing and Health Professions 10 8%
Biochemistry, Genetics and Molecular Biology 8 6%
Agricultural and Biological Sciences 6 5%
Other 13 10%
Unknown 37 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 07 November 2016.
All research outputs
#1,162,131
of 25,045,181 outputs
Outputs from Diabetologia
#635
of 5,334 outputs
Outputs of similar age
#21,916
of 363,530 outputs
Outputs of similar age from Diabetologia
#18
of 77 outputs
Altmetric has tracked 25,045,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,334 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has done well, scoring higher than 88% 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 363,530 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 93% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.