You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Retrospective cross-validation of automated sleep staging using electroocular recording in patients with and without sleep disordered breathing
|
---|---|
Published in |
International Archives of Medicine, June 2012
|
DOI | 10.1186/1755-7682-5-21 |
Pubmed ID | |
Authors |
Daniel J Levendowski, Djordje Popovic, Chris Berka, Philip R Westbrook |
Abstract |
Alterations of sleep duration and architecture have been associated with increased morbidity and mortality, and specifically linked to chronic cardiovascular disease and psychiatric disorders, such as type 2 diabetes or depression. Measurement of sleep quality to assist in the diagnosis or treatment of these diseases is not routinely performed due to the complexity and cost of conventional methods. The objective of this study is to cross-validate the accuracy of an automated algorithm that stages sleep from the EEG signal acquired with sensors that can be self-applied by patients. |
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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
France | 1 | 1% |
Unknown | 70 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 22% |
Student > Ph. D. Student | 9 | 12% |
Student > Bachelor | 6 | 8% |
Other | 5 | 7% |
Lecturer | 5 | 7% |
Other | 13 | 18% |
Unknown | 20 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 14 | 19% |
Medicine and Dentistry | 10 | 14% |
Neuroscience | 7 | 9% |
Psychology | 5 | 7% |
Computer Science | 3 | 4% |
Other | 8 | 11% |
Unknown | 27 | 36% |
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 26 June 2012.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from International Archives of Medicine
#81
of 103 outputs
Outputs of similar age
#138,691
of 177,629 outputs
Outputs of similar age from International Archives of Medicine
#1
of 3 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 103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 9th percentile – i.e., 9% 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 177,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them