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Mendeley readers
Attention Score in Context
| Title |
Sleep/wake estimation using only anterior tibialis electromyography data
|
|---|---|
| Published in |
BioMedical Engineering OnLine, May 2012
|
| DOI | 10.1186/1475-925x-11-26 |
| Pubmed ID | |
| Authors |
SuHwan Hwang, GihSung Chung, JeongSu Lee, JaeHyuk Shin, So-Jin Lee, Do-Un Jeong, KwangSuk Park |
| Abstract |
In sleep efficiency monitoring system, actigraphy is the simplest and most commonly used device. However, low specificity to wakefulness of actigraphy was revealed in previous studies. In this study, we assumed that sleep/wake estimation using actigraphy and electromyography (EMG) signals would show different patterns. Furthermore, each EMG pattern in two states (sleep, wake during sleep) was analysed. Finally, we proposed two types of method for the estimation of sleep/wake patterns using only EMG signals from anterior tibialis muscles and the results were compared with PSG data. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 50% |
| Mexico | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 15% |
| Unspecified | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Researcher | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 13 | 24% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 24% |
| Medicine and Dentistry | 8 | 15% |
| Unspecified | 6 | 11% |
| Psychology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 13 | 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 17 January 2013.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#459
of 867 outputs
Outputs of similar age
#116,606
of 177,847 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 13 outputs
Altmetric has tracked 25,374,917 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 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 33rd percentile – i.e., 33% 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 177,847 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 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.