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Using maximum weight to redefine body mass index categories in studies of the mortality risks of obesity

Overview of attention for article published in Population Health Metrics, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 416)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
10 news outlets
blogs
4 blogs
twitter
44 X users
reddit
2 Redditors
video
1 YouTube creator

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Using maximum weight to redefine body mass index categories in studies of the mortality risks of obesity
Published in
Population Health Metrics, March 2014
DOI 10.1186/1478-7954-12-6
Pubmed ID
Authors

Andrew Stokes

Abstract

The high prevalence of disease and associated weight loss at older ages limits the validity of prospective cohort studies examining the association between body mass index (BMI) and mortality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 8%
United Kingdom 1 2%
Australia 1 2%
Unknown 54 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 21%
Researcher 9 15%
Other 8 13%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 4 7%
Other 14 23%
Unknown 6 10%
Readers by discipline Count As %
Social Sciences 17 28%
Medicine and Dentistry 13 21%
Nursing and Health Professions 10 16%
Agricultural and Biological Sciences 5 8%
Mathematics 3 5%
Other 7 11%
Unknown 6 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 15 October 2023.
All research outputs
#325,657
of 25,765,370 outputs
Outputs from Population Health Metrics
#9
of 416 outputs
Outputs of similar age
#2,764
of 250,511 outputs
Outputs of similar age from Population Health Metrics
#1
of 11 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 97% 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 250,511 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 98% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.