Title |
The impact of cardiac and noncardiac comorbidities on the short-term outcomes of patients hospitalized with acute myocardial infarction: a population-based perspective
|
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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. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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
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
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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.