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Postprandial lipemia: factoring in lipemic response for ranking foods for their healthiness

Overview of attention for article published in Lipids in Health and Disease, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 948)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

twitter
43 tweeters
facebook
2 Facebook pages

Citations

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8 Dimensions

Readers on

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56 Mendeley
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Title
Postprandial lipemia: factoring in lipemic response for ranking foods for their healthiness
Published in
Lipids in Health and Disease, September 2017
DOI 10.1186/s12944-017-0568-5
Pubmed ID
Authors

Cintia Botelho Dias, Paul J. Moughan, Lisa G. Wood, Harjinder Singh, Manohar L. Garg

Abstract

One of the limitations for ranking foods and meals for healthiness on the basis of the glycaemic index (GI) is that the GI is subject to manipulation by addition of fat. Postprandial lipemia, defined as a rise in circulating triglyceride containing lipoproteins following consumption of a meal, has been recognised as a risk factor for the development of cardiovascular disease and other chronic diseases. Many non-modifiable factors (pathological conditions, genetic background, age, sex and menopausal status) and life-style factors (physical activity, smoking, alcohol and medication use, dietary choices) may modulate postprandial lipemia. The structure and the composition of a food or a meal consumed also plays an important role in the rate of postprandial appearance and clearance of triglycerides in the blood. However, a major difficulty in grading foods, meals and diets according to their potential to elevate postprandial triglyceride levels has been the lack of a standardised marker that takes into consideration both the general characteristics of the food and the food's fat composition and quantity. The release rate of lipids from the food matrix during digestion also has an important role in determining the postprandial lipemic effects of a food product. This article reviews the factors that have been shown to influence postprandial lipemia with a view to develop a novel index for ranking foods according to their healthiness. This index should take into consideration not only the glycaemic but also lipemic responses.

Twitter Demographics

The data shown below were collected from the profiles of 43 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 25%
Student > Bachelor 9 16%
Other 7 13%
Unspecified 6 11%
Researcher 5 9%
Other 15 27%
Readers by discipline Count As %
Medicine and Dentistry 13 23%
Agricultural and Biological Sciences 10 18%
Unspecified 9 16%
Biochemistry, Genetics and Molecular Biology 8 14%
Nursing and Health Professions 6 11%
Other 10 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 June 2018.
All research outputs
#606,463
of 13,028,155 outputs
Outputs from Lipids in Health and Disease
#35
of 948 outputs
Outputs of similar age
#23,168
of 269,515 outputs
Outputs of similar age from Lipids in Health and Disease
#1
of 1 outputs
Altmetric has tracked 13,028,155 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 948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 96% 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 269,515 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them