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The Missing Risk: MRI and MRS Phenotyping of Abdominal Adiposity and Ectopic Fat

Overview of attention for article published in Obesity, September 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
17 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
reddit
1 Redditor
video
2 YouTube creators
podcasts
1 podcast

Readers on

mendeley
241 Mendeley
citeulike
1 CiteULike
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Article details
Title
The Missing Risk: MRI and MRS Phenotyping of Abdominal Adiposity and Ectopic Fat
Published in
Obesity, September 2012
DOI 10.1038/oby.2011.142
Pubmed ID
Authors
Abstract

Individual compartments of abdominal adiposity and lipid content within the liver and muscle are differentially associated with metabolic risk factors, obesity and insulin resistance. Subjects with greater intra-abdominal adipose tissue (IAAT) and hepatic fat than predicted by clinical indices of obesity may be at increased risk of metabolic diseases despite their "normal" size. There is a need for accurate quantification of these potentially hazardous depots and identification of novel subphenotypes that recognize individuals at potentially increased metabolic risk. We aimed to calculate a reference range for total and regional adipose tissue (AT) as well as ectopic fat in liver and muscle in healthy subjects. We studied the relationship between age, body-mass, BMI, waist circumference (WC), and the distribution of AT, using whole-body magnetic resonance imaging (MRI), in 477 white volunteers (243 male, 234 female). Furthermore, we used proton magnetic resonance spectroscopy (MRS) to determine intrahepatocellular (IHCL) and intramyocellular (IMCL) lipid content. The anthropometric variable which provided the strongest individual correlation for adiposity and ectopic fat stores was WC in men and BMI in women. In addition, we reveal a large variation in IAAT, abdominal subcutaneous AT (ASAT), and IHCL depots not fully predicted by clinically obtained measurements of obesity and the emergence of a previously unidentified subphenotype. Here, we demonstrate gender- and age-specific patterns of regional adiposity in a large UK-based cohort and identify anthropometric variables that best predict individual adiposity and ectopic fat stores. From these data we propose the thin-on-the-outside fat-on-the-inside (TOFI) as a subphenotype for individuals at increased metabolic risk.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Mexico 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 233 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 35 15%
Student > Master 30 12%
Student > Ph. D. Student 27 11%
Student > Bachelor 22 9%
Other 15 6%
Other 49 20%
Unknown 63 26%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 59 24%
Agricultural and Biological Sciences 21 9%
Biochemistry, Genetics and Molecular Biology 16 7%
Nursing and Health Professions 16 7%
Chemistry 7 3%
Other 47 20%
Unknown 75 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 09 March 2026.
All research outputs
#1,844,987
of 33,130,212 outputs
Outputs from Obesity
#1,007
of 4,916 outputs
Outputs of similar age
#10,021
of 216,057 outputs
Outputs of similar age from Obesity
#192
of 1,355 outputs
Altmetric has tracked 33,130,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.8. This one has done well, scoring higher than 79% 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 216,057 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 95% of its contemporaries.
We're also able to compare this research output to 1,355 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.