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A case-control study of physical activity patterns and risk of non-fatal myocardial infarction

Overview of attention for article published in BMC Public Health, February 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
52 Mendeley
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Title
A case-control study of physical activity patterns and risk of non-fatal myocardial infarction
Published in
BMC Public Health, February 2013
DOI 10.1186/1471-2458-13-122
Pubmed ID
Authors

Jian Gong, Hannia Campos, Joseph Mark A Fiecas, Stephen T McGarvey, Robert Goldberg, Caroline Richardson, Ana Baylin

Abstract

The interactive effects of different types of physical activity on cardiovascular disease (CVD) risk have not been fully considered in previous studies. We aimed to identify physical activity patterns that take into account combinations of physical activities and examine the association between derived physical activity patterns and risk of acute myocardial infarction (AMI).

Twitter Demographics

The data shown below were collected from the profiles of 5 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Researcher 6 12%
Student > Postgraduate 6 12%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Other 10 19%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Nursing and Health Professions 8 15%
Agricultural and Biological Sciences 4 8%
Sports and Recreations 3 6%
Computer Science 1 2%
Other 3 6%
Unknown 18 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 February 2013.
All research outputs
#4,892,571
of 10,502,506 outputs
Outputs from BMC Public Health
#3,815
of 7,662 outputs
Outputs of similar age
#108,260
of 309,168 outputs
Outputs of similar age from BMC Public Health
#180
of 349 outputs
Altmetric has tracked 10,502,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 53rd percentile.
So far Altmetric has tracked 7,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 309,168 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 64% of its contemporaries.
We're also able to compare this research output to 349 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.