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Mortality after admission for acute myocardial infarction in Aboriginal and non-Aboriginal people in New South Wales, Australia: a multilevel data linkage study

Overview of attention for article published in BMC Public Health, April 2012
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Mentioned by

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1 tweeter

Citations

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19 Dimensions

Readers on

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38 Mendeley
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Title
Mortality after admission for acute myocardial infarction in Aboriginal and non-Aboriginal people in New South Wales, Australia: a multilevel data linkage study
Published in
BMC Public Health, April 2012
DOI 10.1186/1471-2458-12-281
Pubmed ID
Authors

Deborah A Randall, Louisa R Jorm, Sanja Lujic, Aiden J O’Loughlin, Timothy R Churches, Mary M Haines, Sandra J Eades, Alastair H Leyland

Abstract

Heart disease is a leading cause of the gap in burden of disease between Aboriginal and non-Aboriginal Australians. Our study investigated short- and long-term mortality after admission for Aboriginal and non-Aboriginal people admitted with acute myocardial infarction (AMI) to public hospitals in New South Wales, Australia, and examined the impact of the hospital of admission on outcomes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 5%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 6 16%
Student > Bachelor 6 16%
Student > Ph. D. Student 6 16%
Other 4 11%
Other 6 16%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Social Sciences 7 18%
Agricultural and Biological Sciences 3 8%
Economics, Econometrics and Finance 3 8%
Psychology 3 8%
Other 9 24%
Unknown 3 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2012.
All research outputs
#7,762,090
of 12,372,633 outputs
Outputs from BMC Public Health
#6,312
of 8,418 outputs
Outputs of similar age
#65,744
of 119,233 outputs
Outputs of similar age from BMC Public Health
#88
of 124 outputs
Altmetric has tracked 12,372,633 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
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 is in the 17th percentile – i.e., 17% 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 119,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.