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Accuracy of DXA in estimating body composition changes in elite athletes using a four compartment model as the reference method

Overview of attention for article published in Nutrition & Metabolism, March 2010
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
2 X users
reddit
1 Redditor

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
135 Mendeley
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Title
Accuracy of DXA in estimating body composition changes in elite athletes using a four compartment model as the reference method
Published in
Nutrition & Metabolism, March 2010
DOI 10.1186/1743-7075-7-22
Pubmed ID
Authors

Diana A Santos, Analiza M Silva, Catarina N Matias, David A Fields, Steven B Heymsfield, Luís B Sardinha

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Portugal 1 <1%
Ireland 1 <1%
Belgium 1 <1%
Unknown 131 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 15%
Student > Master 18 13%
Student > Bachelor 17 13%
Student > Ph. D. Student 13 10%
Professor 12 9%
Other 37 27%
Unknown 18 13%
Readers by discipline Count As %
Sports and Recreations 38 28%
Medicine and Dentistry 26 19%
Nursing and Health Professions 14 10%
Agricultural and Biological Sciences 11 8%
Biochemistry, Genetics and Molecular Biology 8 6%
Other 14 10%
Unknown 24 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 18 February 2019.
All research outputs
#3,429,548
of 25,853,983 outputs
Outputs from Nutrition & Metabolism
#313
of 1,025 outputs
Outputs of similar age
#13,045
of 105,190 outputs
Outputs of similar age from Nutrition & Metabolism
#10
of 15 outputs
Altmetric has tracked 25,853,983 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has gotten more attention than average, scoring higher than 69% 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 105,190 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 87% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.