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Advanced body composition assessment: from body mass index to body composition profiling

Overview of attention for article published in Journal of Investigative Medicine, January 2023
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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 (#47 of 864)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
3 news outlets
twitter
8 X users
wikipedia
1 Wikipedia page
q&a
1 Q&A thread
video
1 YouTube creator

Citations

dimensions_citation
366 Dimensions

Readers on

mendeley
959 Mendeley
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Title
Advanced body composition assessment: from body mass index to body composition profiling
Published in
Journal of Investigative Medicine, January 2023
DOI 10.1136/jim-2018-000722
Pubmed ID
Authors

Magnus Borga, Janne West, Jimmy D Bell, Nicholas C Harvey, Thobias Romu, Steven B Heymsfield, Olof Dahlqvist Leinhard

Abstract

This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 959 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 959 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 125 13%
Student > Master 111 12%
Researcher 81 8%
Student > Ph. D. Student 81 8%
Student > Postgraduate 46 5%
Other 125 13%
Unknown 390 41%
Readers by discipline Count As %
Medicine and Dentistry 195 20%
Nursing and Health Professions 86 9%
Sports and Recreations 72 8%
Agricultural and Biological Sciences 37 4%
Biochemistry, Genetics and Molecular Biology 31 3%
Other 105 11%
Unknown 433 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 20 July 2023.
All research outputs
#1,192,963
of 25,837,817 outputs
Outputs from Journal of Investigative Medicine
#47
of 864 outputs
Outputs of similar age
#25,782
of 478,486 outputs
Outputs of similar age from Journal of Investigative Medicine
#34
of 477 outputs
Altmetric has tracked 25,837,817 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 864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 94% 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 478,486 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 94% of its contemporaries.
We're also able to compare this research output to 477 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 92% of its contemporaries.