| Title |
A Systematic Review of Detecting Sleep Apnea Using Deep Learning
|
|---|---|
| Published in |
Sensors, November 2019
|
| DOI | 10.3390/s19224934 |
| Pubmed ID | |
| Authors |
Shanawaz Mostafa, Fábio Mendonça, Antonio G. Ravelo-García, Fernando Morgado-Dias |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 14% |
| United States | 2 | 7% |
| Switzerland | 2 | 7% |
| Ukraine | 1 | 3% |
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| Spain | 1 | 3% |
| Portugal | 1 | 3% |
| Brazil | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 93% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 160 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 13% |
| Student > Master | 20 | 13% |
| Researcher | 14 | 9% |
| Student > Bachelor | 8 | 5% |
| Professor | 4 | 3% |
| Other | 17 | 11% |
| Unknown | 76 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 26 | 16% |
| Computer Science | 19 | 12% |
| Medicine and Dentistry | 13 | 8% |
| Nursing and Health Professions | 5 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 13 | 8% |
| Unknown | 81 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 11 October 2021.
All research outputs
#2,403,158
of 25,387,668 outputs
Outputs from Sensors
#630
of 24,324 outputs
Outputs of similar age
#49,685
of 374,939 outputs
Outputs of similar age from Sensors
#22
of 478 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,324 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 97% of its peers.
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 374,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 478 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.