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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance of the Emotiv Epoc headset for P300-based applications
|
|---|---|
| Published in |
BioMedical Engineering OnLine, June 2013
|
| DOI | 10.1186/1475-925x-12-56 |
| Pubmed ID | |
| Authors |
Matthieu Duvinage, Thierry Castermans, Mathieu Petieau, Thomas Hoellinger, Guy Cheron, Thierry Dutoit |
| Abstract |
For two decades, EEG-based Brain-Computer Interface (BCI) systems have been widely studied in research labs. Now, researchers want to consider out-of-the-lab applications and make this technology available to everybody. However, medical-grade EEG recording devices are still much too expensive for end-users, especially disabled people. Therefore, several low-cost alternatives have appeared on the market. The Emotiv Epoc headset is one of them. Although some previous work showed this device could suit the customer's needs in terms of performance, no quantitative classification-based assessments compared to a medical system are available. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 534 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 1% |
| United Kingdom | 5 | <1% |
| Brazil | 3 | <1% |
| Austria | 2 | <1% |
| Canada | 2 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Netherlands | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 504 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 100 | 19% |
| Student > Ph. D. Student | 93 | 17% |
| Researcher | 67 | 13% |
| Student > Bachelor | 67 | 13% |
| Student > Doctoral Student | 29 | 5% |
| Other | 87 | 16% |
| Unknown | 91 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 114 | 21% |
| Computer Science | 96 | 18% |
| Psychology | 54 | 10% |
| Neuroscience | 44 | 8% |
| Medicine and Dentistry | 20 | 4% |
| Other | 95 | 18% |
| Unknown | 111 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 February 2017.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#203
of 867 outputs
Outputs of similar age
#64,744
of 208,943 outputs
Outputs of similar age from BioMedical Engineering OnLine
#7
of 18 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 has gotten more attention than average, scoring higher than 74% 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 208,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 18 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 61% of its contemporaries.