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X Demographics
Mendeley readers
Attention Score in Context
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 |
Flávia B. Nerbass, Rodrigo P. Pedrosa, Pedro R. Genta, Murillo O. Antunes, Edmundo Arteaga-Fernández, Luciano F. Drager, Geraldo 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. |
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 % |
---|---|---|
Egypt | 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 17% |
Other | 5 | 10% |
Student > Bachelor | 5 | 10% |
Student > Doctoral Student | 5 | 10% |
Student > Ph. D. Student | 4 | 8% |
Other | 8 | 17% |
Unknown | 13 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 48% |
Nursing and Health Professions | 2 | 4% |
Psychology | 2 | 4% |
Environmental Science | 1 | 2% |
Arts and Humanities | 1 | 2% |
Other | 3 | 6% |
Unknown | 16 | 33% |
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
#20,655,488
of 25,373,627 outputs
Outputs from Clinics
#861
of 1,215 outputs
Outputs of similar age
#157,444
of 206,705 outputs
Outputs of similar age from Clinics
#24
of 31 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 206,705 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.