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The impact of cardiac and noncardiac comorbidities on the short-term outcomes of patients hospitalized with acute myocardial infarction: a population-based perspective

Overview of attention for article published in Clinical Epidemiology, November 2013
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Title
The impact of cardiac and noncardiac comorbidities on the short-term outcomes of patients hospitalized with acute myocardial infarction: a population-based perspective
Published in
Clinical Epidemiology, November 2013
DOI 10.2147/clep.s49485
Pubmed ID
Authors

Han-Yang Chen, Jane S Saczynski, David D McManus, Darleen Lessard, Jorge Yarzebski, Kate L Lapane, Joel M Gore, Robert J Goldberg

Abstract

The objectives of our large observational study were to describe the prevalence of cardiac and noncardiac comorbidities in a community-based population of patients hospitalized with acute myocardial infarction (AMI) at all medical centers in central Massachusetts, and to examine whether multiple comorbidities were associated with in-hospital death rates and hospital length of stay.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 9%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 21 38%
Nursing and Health Professions 4 7%
Economics, Econometrics and Finance 2 4%
Engineering 2 4%
Psychology 2 4%
Other 1 2%
Unknown 23 42%
Attention Score in Context

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 07 November 2013.
All research outputs
#18,353,475
of 22,729,647 outputs
Outputs from Clinical Epidemiology
#565
of 711 outputs
Outputs of similar age
#158,879
of 213,637 outputs
Outputs of similar age from Clinical Epidemiology
#13
of 20 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 8th percentile – i.e., 8% 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 213,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.