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Lean body mass: the development and validation of prediction equations in healthy adults

Overview of attention for article published in BMC Pharmacology and Toxicology, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
110 Mendeley
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Title
Lean body mass: the development and validation of prediction equations in healthy adults
Published in
BMC Pharmacology and Toxicology, October 2013
DOI 10.1186/2050-6511-14-53
Pubmed ID
Authors

Solomon Yu, Thavarajah Visvanathan, John Field, Leigh C Ward, Ian Chapman, Robert Adams, Gary Wittert, Renuka Visvanathan

Abstract

There is a loss of lean body mass (LBM) with increasing age. A low LBM has been associated with increased adverse effects from prescribed medications such as chemotherapy. Accurate assessment of LBM may allow for more accurate drug prescribing. The aims of this study were to develop new prediction equations (PEs) for LBM with anthropometric and biochemical variables from a development cohort and then validate the best performing PEs in validation cohorts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 16%
Student > Master 15 14%
Student > Ph. D. Student 14 13%
Researcher 7 6%
Student > Postgraduate 6 5%
Other 20 18%
Unknown 30 27%
Readers by discipline Count As %
Medicine and Dentistry 37 34%
Sports and Recreations 10 9%
Nursing and Health Professions 9 8%
Unspecified 4 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 12 11%
Unknown 34 31%
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 06 January 2023.
All research outputs
#3,925,971
of 23,500,709 outputs
Outputs from BMC Pharmacology and Toxicology
#67
of 456 outputs
Outputs of similar age
#35,957
of 212,499 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#3
of 10 outputs
Altmetric has tracked 23,500,709 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 456 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 85% 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 212,499 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 83% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.