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Gene-diet interactions with polymorphisms of the MGLL gene on plasma low-density lipoprotein cholesterol and size following an omega-3 polyunsaturated fatty acid supplementation: a clinical trial

Overview of attention for article published in Lipids in Health and Disease, May 2014
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Title
Gene-diet interactions with polymorphisms of the MGLL gene on plasma low-density lipoprotein cholesterol and size following an omega-3 polyunsaturated fatty acid supplementation: a clinical trial
Published in
Lipids in Health and Disease, May 2014
DOI 10.1186/1476-511x-13-86
Pubmed ID
Authors

Catherine Ouellette, Iwona Rudkowska, Simone Lemieux, Benoit Lamarche, Patrick Couture, Marie-Claude Vohl

Abstract

Omega-3 (n-3) polyunsaturated fatty acid (PUFA) consumption increases low-density lipoprotein (LDL) cholesterol (C) concentrations and particle size. Studies showed that individuals with large, buoyant LDL particles have decreased risk of cardiovascular diseases. However, a large inter-individual variability is observed in LDL particle size. Genetic factors may explain the variability of LDL-C concentrations and particle size after an n-3 PUFA supplementation. The monoglyceride lipase (MGLL) enzyme, encoded by the MGLL gene, plays an important role in lipid metabolism, especially lipoprotein metabolism. The aim of this study was to investigate if polymorphisms (SNPs) of the MGLL gene influence the variability of LDL-C and LDL particle size in response to an n-3 PUFA supplementation.

X Demographics

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The data shown below were collected from the profile of 1 X user 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Bachelor 11 18%
Student > Master 6 10%
Student > Ph. D. Student 5 8%
Student > Postgraduate 5 8%
Other 10 16%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Agricultural and Biological Sciences 10 16%
Nursing and Health Professions 7 11%
Biochemistry, Genetics and Molecular Biology 5 8%
Computer Science 2 3%
Other 5 8%
Unknown 18 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 July 2014.
All research outputs
#18,374,472
of 22,758,248 outputs
Outputs from Lipids in Health and Disease
#982
of 1,442 outputs
Outputs of similar age
#163,060
of 226,405 outputs
Outputs of similar age from Lipids in Health and Disease
#17
of 21 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 17th percentile – i.e., 17% 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 226,405 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.