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 |
Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain–Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2022
|
| DOI | 10.3389/fninf.2022.758537 |
| Pubmed ID | |
| Authors |
Jisoo Ha, Seonghun Park, Chang-Hwan Im |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Switzerland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 3 | 10% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 13 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 24% |
| Computer Science | 2 | 7% |
| Neuroscience | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 13 | 45% |
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 26 March 2022.
All research outputs
#8,525,100
of 25,622,179 outputs
Outputs from Frontiers in Neuroinformatics
#386
of 844 outputs
Outputs of similar age
#168,463
of 452,815 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#9
of 22 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 844 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 54% 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 452,815 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 62% of its contemporaries.
We're also able to compare this research output to 22 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 63% of its contemporaries.