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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic artefact removal in a self-paced hybrid brain- computer interface system
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, July 2012
|
| DOI | 10.1186/1743-0003-9-50 |
| Pubmed ID | |
| Authors |
Xinyi Yong, Mehrdad Fatourechi, Rabab K Ward, Gary E Birch |
| Abstract |
A novel artefact removal algorithm is proposed for a self-paced hybrid brain-computer interface (BCI) system. This hybrid system combines a self-paced BCI with an eye-tracker to operate a virtual keyboard. To select a letter, the user must gaze at the target for at least a specific period of time (dwell time) and then activate the BCI by performing a mental task. Unfortunately, electroencephalogram (EEG) signals are often contaminated with artefacts. Artefacts change the quality of EEG signals and subsequently degrade the BCI's performance. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 10 | 17% |
| Student > Doctoral Student | 7 | 12% |
| Professor | 5 | 8% |
| Researcher | 5 | 8% |
| Other | 8 | 14% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 32% |
| Computer Science | 6 | 10% |
| Medicine and Dentistry | 6 | 10% |
| Neuroscience | 6 | 10% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 16 | 27% |
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 27 July 2012.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#935
of 1,413 outputs
Outputs of similar age
#117,880
of 179,046 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#5
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 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 26th percentile – i.e., 26% 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 179,046 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 53% of its contemporaries.