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Calculation of Expected Body Weight in Adolescents With Eating Disorders

Overview of attention for article published in Pediatrics, February 2012
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
facebook
1 Facebook page

Citations

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101 Dimensions

Readers on

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88 Mendeley
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Title
Calculation of Expected Body Weight in Adolescents With Eating Disorders
Published in
Pediatrics, February 2012
DOI 10.1542/peds.2011-1676
Pubmed ID
Authors

Daniel Le Grange, Peter M. Doyle, Sonja A. Swanson, Kali Ludwig, Catherine Glunz, Richard E. Kreipe

Abstract

To examine the agreement between three methods to calculate expected body weight (EBW) for adolescents with eating disorders: (1) BMI percentile, (2) McLaren, and (3) Moore methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Brazil 1 1%
Finland 1 1%
Mexico 1 1%
United States 1 1%
Unknown 83 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 24%
Student > Doctoral Student 10 11%
Researcher 7 8%
Other 6 7%
Student > Postgraduate 6 7%
Other 26 30%
Unknown 12 14%
Readers by discipline Count As %
Medicine and Dentistry 30 34%
Psychology 21 24%
Nursing and Health Professions 7 8%
Agricultural and Biological Sciences 3 3%
Social Sciences 3 3%
Other 6 7%
Unknown 18 20%
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 23 January 2012.
All research outputs
#2,831,683
of 22,661,413 outputs
Outputs from Pediatrics
#6,348
of 16,565 outputs
Outputs of similar age
#24,081
of 247,239 outputs
Outputs of similar age from Pediatrics
#67
of 193 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,565 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.1. This one has gotten more attention than average, scoring higher than 61% 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 247,239 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 90% of its contemporaries.
We're also able to compare this research output to 193 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 65% of its contemporaries.