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A Review of the Methods and Associated Mathematical Models Used in the Measurement of Fat-Free Mass

Overview of attention for article published in Clinical Pharmacokinetics, January 2018
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Article details
Title
A Review of the Methods and Associated Mathematical Models Used in the Measurement of Fat-Free Mass
Published in
Clinical Pharmacokinetics, January 2018
DOI 10.1007/s40262-017-0622-5
Pubmed ID
Authors
Abstract

Fat-free mass (FFM) represents the lean component of the body devoid of fat. It has been shown to be a useful predictor of drug dose requirements, particularly in obesity where the excess fat mass does not contribute to drug clearance. However, measuring FFM involves complex and/or expensive experimental methodologies that preclude their use in routine clinical practice. Thus, models to predict FFM from readily measurable variables, such as body weight and height, have been developed and are used in both population pharmacokinetic modelling and clinical practice. In this review, methods used to measure FFM are explained and compared in terms of their assumptions, precision, and limitations. These methods are broadly classified into six different principles: densitometry, hydrometry, bioimpedance, whole-body counting, dual energy X-ray absorptiometry, and medical imaging. They vary in their processes and key biological assumptions that are often not applicable in certain populations (e.g. children, elderly, and certain disease states). This review provides a summary of the various methods of FFM measurement and estimation, and links these methods to a scientific framework to help clinicians and researchers understand the usefulness and potential limitations of these methods.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 65 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 %
Unknown 65 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 12 18%
Other 5 8%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 9 14%
Unknown 19 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Pharmacology, Toxicology and Pharmaceutical Science 8 12%
Nursing and Health Professions 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Sports and Recreations 3 5%
Other 5 8%
Unknown 31 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 November 2023.
All research outputs
#5,481,398
of 32,980,655 outputs
Outputs from Clinical Pharmacokinetics
#453
of 1,984 outputs
Outputs of similar age
#86,659
of 486,771 outputs
Outputs of similar age from Clinical Pharmacokinetics
#5
of 19 outputs
Altmetric has tracked 32,980,655 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,984 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 77% 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 486,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.