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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 (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
21 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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Master 5 24%
Student > Ph. D. Student 3 14%
Professor 1 5%
Other 1 5%
Other 2 10%
Unknown 4 19%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Nursing and Health Professions 2 10%
Social Sciences 2 10%
Agricultural and Biological Sciences 2 10%
Decision Sciences 1 5%
Other 2 10%
Unknown 7 33%

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
#3,313,034
of 12,372,633 outputs
Outputs from BMC Public Health
#3,682
of 8,418 outputs
Outputs of similar age
#55,002
of 224,393 outputs
Outputs of similar age from BMC Public Health
#20
of 73 outputs
Altmetric has tracked 12,372,633 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 55% 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 224,393 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 75% of its contemporaries.
We're also able to compare this research output to 73 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 72% of its contemporaries.