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Nutritional modulation of endogenous glucagon-like peptide-1 secretion: a review

Overview of attention for article published in Nutrition & Metabolism, December 2016
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
25 tweeters
facebook
3 Facebook pages
q&a
1 Q&A thread
video
1 video uploader

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
146 Mendeley
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Title
Nutritional modulation of endogenous glucagon-like peptide-1 secretion: a review
Published in
Nutrition & Metabolism, December 2016
DOI 10.1186/s12986-016-0153-3
Pubmed ID
Authors

Alexandra M. Bodnaruc, Denis Prud’homme, Rosanne Blanchet, Isabelle Giroux

Abstract

The positive influences of glucagon-like peptide-1 (GLP-1) on blood glucose homeostasis, appetite sensations, and food intake provide a strong rationale for its therapeutic potential in the nutritional management of obesity and type 2 diabetes. To summarize GLP-1 physiology and the nutritional modulation of its secretion in the context of obesity and type 2 diabetes management. GLP-1 is mainly synthesized and secreted by enteroendocrine L-cells of the gastrointestinal tract. Its secretion is partly mediated by the direct nutrient sensing by G-protein coupled receptors which specifically bind to monosaccharides, peptides and amino-acids, monounsaturated and polyunsaturated fatty acids as well as to short chain fatty acids. Foods rich in these nutrients, such as high-fiber grain products, nuts, avocados and eggs also seem to influence GLP-1 secretion and may thus promote associated beneficial outcomes in healthy individuals as well as individuals with type 2 diabetes or with other metabolic disturbances. The stimulation of endogenous GLP-1 secretion by manipulating the composition of the diet may be a relevant strategy for obesity and type 2 diabetes management. A better understanding of the dose-dependent effects as well as the synergistic effects of nutrients and whole foods is needed in order to develop recommendations to appropriately modify the diet to enhance GLP-1 beneficial effects.

Twitter Demographics

The data shown below were collected from the profiles of 25 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 145 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 16%
Student > Master 21 14%
Researcher 15 10%
Student > Bachelor 14 10%
Student > Doctoral Student 9 6%
Other 24 16%
Unknown 40 27%
Readers by discipline Count As %
Medicine and Dentistry 24 16%
Biochemistry, Genetics and Molecular Biology 24 16%
Agricultural and Biological Sciences 16 11%
Nursing and Health Professions 11 8%
Immunology and Microbiology 5 3%
Other 18 12%
Unknown 48 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 04 August 2022.
All research outputs
#1,545,558
of 21,786,000 outputs
Outputs from Nutrition & Metabolism
#206
of 922 outputs
Outputs of similar age
#38,929
of 422,498 outputs
Outputs of similar age from Nutrition & Metabolism
#16
of 77 outputs
Altmetric has tracked 21,786,000 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 922 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 77% 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 422,498 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 90% 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 79% of its contemporaries.