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Reverse Cholesterol Transport: Molecular Mechanisms and the Non-medical Approach to Enhance HDL Cholesterol

Overview of attention for article published in Frontiers in Physiology, May 2018
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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15 X users
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1 Q&A thread
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1 YouTube creator

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344 Mendeley
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Title
Reverse Cholesterol Transport: Molecular Mechanisms and the Non-medical Approach to Enhance HDL Cholesterol
Published in
Frontiers in Physiology, May 2018
DOI 10.3389/fphys.2018.00526
Pubmed ID
Authors

Leandro R. Marques, Tiego A. Diniz, Barbara M. Antunes, Fabrício E. Rossi, Erico C. Caperuto, Fábio S. Lira, Daniela C. Gonçalves

Abstract

Dyslipidemia (high concentrations of LDL-c and low concentrations of HDL-c) is a major cause of cardiovascular events, which are the leading cause of death in the world. On the other hand, nutrition and regular exercise can be an interesting strategy to modulate lipid profile, acting as prevention or treatment, inhibiting the risk of diseases due to its anti-inflammatory and anti-atherogenic characteristics. Additionally, the possibility of controlling different training variables, such as type, intensity and recovery interval, can be used to maximize the benefits of exercise in promoting cardiovascular health. However, the mechanisms by which exercise and nutrients act in the regulation of cholesterol and its fractions, such as reverse cholesterol transport, receptors and transcription factors involved, such as PPARs and their role related to exercise, deserve further discussion. Therefore, the objective of this review is to debate about non-medical approaches to increase HDL-c, such as nutritional and training strategies, and to discuss the central mechanisms involved in the modulation of lipid profile during exercise, as well as that can be controlled by physical trainers or sports specialists in attempt to maximize the benefits promoted by exercise. The search for papers was performed in the databases: Medline (Pubmed), Science Direct, Scopus, Sport Discus, Web of Science, Scielo and Lilacs until February 2016.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 344 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 52 15%
Student > Master 45 13%
Student > Ph. D. Student 29 8%
Researcher 21 6%
Student > Doctoral Student 20 6%
Other 47 14%
Unknown 130 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 68 20%
Medicine and Dentistry 40 12%
Nursing and Health Professions 20 6%
Agricultural and Biological Sciences 18 5%
Pharmacology, Toxicology and Pharmaceutical Science 12 3%
Other 44 13%
Unknown 142 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 February 2024.
All research outputs
#3,310,503
of 25,394,764 outputs
Outputs from Frontiers in Physiology
#1,764
of 15,636 outputs
Outputs of similar age
#64,284
of 341,034 outputs
Outputs of similar age from Frontiers in Physiology
#75
of 480 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 341,034 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.