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Why choice of metric matters in public health analyses: a case study of the attribution of credit for the decline in coronary heart disease mortality in the US and other populations

Overview of attention for article published in BMC Public Health, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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6 X users

Citations

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16 Dimensions

Readers on

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20 Mendeley
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Title
Why choice of metric matters in public health analyses: a case study of the attribution of credit for the decline in coronary heart disease mortality in the US and other populations
Published in
BMC Public Health, January 2012
DOI 10.1186/1471-2458-12-88
Pubmed ID
Authors

Hebe N Gouda, Julia Critchley, John Powles, Simon Capewell

Abstract

Reasons for the widespread declines in coronary heart disease (CHD) mortality in high income countries are controversial. Here we explore how the type of metric chosen for the analyses of these declines affects the answer obtained.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 30%
Researcher 5 25%
Student > Ph. D. Student 3 15%
Professor 1 5%
Librarian 1 5%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Nursing and Health Professions 3 15%
Agricultural and Biological Sciences 2 10%
Social Sciences 2 10%
Psychology 1 5%
Other 1 5%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2014.
All research outputs
#6,852,198
of 22,662,201 outputs
Outputs from BMC Public Health
#7,200
of 14,741 outputs
Outputs of similar age
#64,350
of 246,409 outputs
Outputs of similar age from BMC Public Health
#84
of 207 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 14,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 50% 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 246,409 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 207 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 57% of its contemporaries.