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A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation

Overview of attention for article published in BMC Systems Biology, October 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 1,132)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
video
1 YouTube creator

Readers on

mendeley
130 Mendeley
citeulike
4 CiteULike
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Title
A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation
Published in
BMC Systems Biology, October 2012
DOI 10.1186/1752-0509-6-130
Pubmed ID
Authors

Mark T Mc Auley, Darren J Wilkinson, Janette JL Jones, Thomas BL Kirkwood

Abstract

Global demographic changes have stimulated marked interest in the process of aging. There has been, and will continue to be, an unrelenting rise in the number of the oldest old ( >85 years of age). Together with an ageing population there comes an increase in the prevalence of age related disease. Of the diseases of ageing, cardiovascular disease (CVD) has by far the highest prevalence. It is regarded that a finely tuned lipid profile may help to prevent CVD as there is a long established relationship between alterations to lipid metabolism and CVD risk. In fact elevated plasma cholesterol, particularly Low Density Lipoprotein Cholesterol (LDL-C) has consistently stood out as a risk factor for having a cardiovascular event. Moreover it is widely acknowledged that LDL-C may rise with age in both sexes in a wide variety of groups. The aim of this work was to use a whole-body mathematical model to investigate why LDL-C rises with age, and to test the hypothesis that mechanistic changes to cholesterol absorption and LDL-C removal from the plasma are responsible for the rise. The whole-body mechanistic nature of the model differs from previous models of cholesterol metabolism which have either focused on intracellular cholesterol homeostasis or have concentrated on an isolated area of lipoprotein dynamics. The model integrates both current and previously published data relating to molecular biology, physiology, ageing and nutrition in an integrated fashion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
Poland 1 <1%
Unknown 128 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 18%
Student > Ph. D. Student 23 18%
Student > Bachelor 19 15%
Student > Postgraduate 7 5%
Student > Doctoral Student 7 5%
Other 29 22%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 27%
Biochemistry, Genetics and Molecular Biology 16 12%
Medicine and Dentistry 16 12%
Computer Science 8 6%
Mathematics 6 5%
Other 25 19%
Unknown 24 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 December 2019.
All research outputs
#2,227,765
of 25,373,627 outputs
Outputs from BMC Systems Biology
#41
of 1,132 outputs
Outputs of similar age
#15,155
of 191,523 outputs
Outputs of similar age from BMC Systems Biology
#1
of 24 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. 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 191,523 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 92% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.