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Lack of reliable clinical predictors to identify obstructive sleep apnea in patients with hypertrophic cardiomyopathy

Overview of attention for article published in Clinics, July 2013
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Mentioned by

twitter
1 tweeter

Citations

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14 Dimensions

Readers on

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42 Mendeley
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Title
Lack of reliable clinical predictors to identify obstructive sleep apnea in patients with hypertrophic cardiomyopathy
Published in
Clinics, July 2013
DOI 10.6061/clinics/2013(07)17
Pubmed ID
Authors

FB Nerbass, RP Pedrosa, PR Genta, MO Antunes, E Arteaga-Fernández, LF Drager, G Lorenzi-Filho

Abstract

Obstructive sleep apnea is common among patients with hypertrophic cardiomyopathy and may contribute to poor cardiovascular outcomes. However, obstructive sleep apnea is largely unrecognized in this population. We sought to identify the clinical predictors of obstructive sleep apnea among patients with hypertrophic cardiomyopathy.

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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Doctoral Student 5 12%
Other 4 10%
Student > Ph. D. Student 4 10%
Student > Bachelor 3 7%
Other 10 24%
Unknown 7 17%
Readers by discipline Count As %
Medicine and Dentistry 22 52%
Nursing and Health Professions 3 7%
Psychology 2 5%
Unspecified 1 2%
Arts and Humanities 1 2%
Other 3 7%
Unknown 10 24%

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 10 April 2014.
All research outputs
#3,060,339
of 4,507,509 outputs
Outputs from Clinics
#243
of 462 outputs
Outputs of similar age
#72,766
of 107,261 outputs
Outputs of similar age from Clinics
#6
of 12 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 462 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 31st percentile – i.e., 31% 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 107,261 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.