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Quality of life and baseline characteristics associated with depressive symptoms among patients with heart disease

Overview of attention for article published in Clinical Epidemiology, July 2012
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Title
Quality of life and baseline characteristics associated with depressive symptoms among patients with heart disease
Published in
Clinical Epidemiology, July 2012
DOI 10.2147/clep.s29247
Pubmed ID
Authors

Elizabeth Jackson, Rejai, Nicholas Giardino, Mahadevan, Ockene, Melvyn Rubenfire, Elizabeth Jackson

Abstract

We sought to examine factors associated with depressive symptoms among patients with heart disease. Data from 197 patients admitted for coronary artery disease were examined using multivariate predictive models. Women and unmarried patients were more likely to report depressive symptoms. In multivariate models, we observed that depressive symptoms were associated with the level of tangible social (but not emotional) support, bodily pain, and vitality, but not the number of comorbidities, gender, or marital status.

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The data shown below were collected from the profiles of 2 X users 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Portugal 1 5%
Brazil 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 14%
Other 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Other 3 14%
Unknown 7 33%
Readers by discipline Count As %
Psychology 6 29%
Nursing and Health Professions 4 19%
Medicine and Dentistry 3 14%
Social Sciences 1 5%
Economics, Econometrics and Finance 1 5%
Other 0 0%
Unknown 6 29%
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 24 July 2012.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Clinical Epidemiology
#522
of 780 outputs
Outputs of similar age
#116,781
of 177,038 outputs
Outputs of similar age from Clinical Epidemiology
#7
of 9 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 24th percentile – i.e., 24% 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 177,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.