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Reviewing the Effects of l-Leucine Supplementation in the Regulation of Food Intake, Energy Balance, and Glucose Homeostasis

Overview of attention for article published in Nutrients, May 2015
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About this Attention Score

  • 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 (75th percentile)

Mentioned by

news
1 news outlet
twitter
12 tweeters
patent
3 patents
facebook
1 Facebook page

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
124 Mendeley
Title
Reviewing the Effects of l-Leucine Supplementation in the Regulation of Food Intake, Energy Balance, and Glucose Homeostasis
Published in
Nutrients, May 2015
DOI 10.3390/nu7053914
Pubmed ID
Authors

João Pedroso, Thais Zampieri, Jose Donato

Abstract

Leucine is a well-known activator of the mammalian target of rapamycin (mTOR). Because mTOR signaling regulates several aspects of metabolism, the potential of leucine as a dietary supplement for treating obesity and diabetes mellitus has been investigated. The objective of the present review was to summarize and discuss the available evidence regarding the mechanisms and the effects of leucine supplementation on the regulation of food intake, energy balance, and glucose homeostasis. Based on the available evidence, we conclude that although central leucine injection decreases food intake, this effect is not well reproduced when leucine is provided as a dietary supplement. Consequently, no robust evidence indicates that oral leucine supplementation significantly affects food intake, although several studies have shown that leucine supplementation may help to decrease body adiposity in specific conditions. However, more studies are necessary to assess the effects of leucine supplementation in already-obese subjects. Finally, although several studies have found that leucine supplementation improves glucose homeostasis, the underlying mechanisms involved in these potential beneficial effects remain unknown and may be partially dependent on weight loss.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 18%
Researcher 18 15%
Student > Ph. D. Student 18 15%
Student > Master 15 12%
Other 8 6%
Other 21 17%
Unknown 22 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 26%
Biochemistry, Genetics and Molecular Biology 15 12%
Medicine and Dentistry 14 11%
Nursing and Health Professions 9 7%
Sports and Recreations 5 4%
Other 21 17%
Unknown 28 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 25 August 2020.
All research outputs
#1,238,864
of 18,724,433 outputs
Outputs from Nutrients
#2,147
of 11,887 outputs
Outputs of similar age
#19,664
of 244,277 outputs
Outputs of similar age from Nutrients
#32
of 126 outputs
Altmetric has tracked 18,724,433 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one has done well, scoring higher than 81% 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 244,277 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 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.