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Physiological models of body composition and human obesity

Overview of attention for article published in Nutrition & Metabolism, September 2007
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1 Wikipedia page

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48 Mendeley
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Title
Physiological models of body composition and human obesity
Published in
Nutrition & Metabolism, September 2007
DOI 10.1186/1743-7075-4-19
Pubmed ID
Authors

David G Levitt, Steven B Heymsfield, Richard N Pierson, Sue A Shapses, John G Kral

Abstract

The body mass index (BMI) is the standard parameter for predicting body fat fraction and for classifying degrees of obesity. Currently available regression equations between BMI and fat are based on 2 or 3 parameter empirical fits and have not been validated for highly obese subjects. We attempt to develop regression relations that are based on realistic models of body composition changes in obesity. These models, if valid, can then be extrapolated to the high fat fraction of the morbidly obese.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Belgium 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Bachelor 8 17%
Student > Master 5 10%
Student > Ph. D. Student 4 8%
Professor > Associate Professor 3 6%
Other 12 25%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 11 23%
Agricultural and Biological Sciences 6 13%
Social Sciences 5 10%
Engineering 3 6%
Nursing and Health Professions 2 4%
Other 12 25%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2013.
All research outputs
#7,451,284
of 22,780,165 outputs
Outputs from Nutrition & Metabolism
#487
of 946 outputs
Outputs of similar age
#24,979
of 70,715 outputs
Outputs of similar age from Nutrition & Metabolism
#2
of 2 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 70,715 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.