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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Designing Guiding Systems for Brain-Computer Interfaces
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, July 2017
|
| DOI | 10.3389/fnhum.2017.00396 |
| Pubmed ID | |
| Authors |
Nataliya Kosmyna, Anatole Lécuyer |
| Abstract |
Brain-Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop. Guiding users on how to use a BCI is crucial in order to teach them to produce stable brain patterns. In this work, we explore the instructions and feedback for BCIs in order to provide a systematic taxonomy to describe the BCI guiding systems. The purpose of our work is to give necessary clues to the researchers and designers in Human-Computer Interaction (HCI) in making the fusion between BCIs and HCI more fruitful but also to better understand the possibilities BCIs can provide to them. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 8% |
| Canada | 1 | 8% |
| Germany | 1 | 8% |
| Switzerland | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 8 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Master | 3 | 7% |
| Other | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 16 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 28% |
| Computer Science | 4 | 9% |
| Psychology | 3 | 7% |
| Neuroscience | 3 | 7% |
| Design | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 16 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 November 2017.
All research outputs
#3,654,627
of 22,988,380 outputs
Outputs from Frontiers in Human Neuroscience
#1,718
of 7,183 outputs
Outputs of similar age
#65,404
of 316,527 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#39
of 144 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 76% 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 316,527 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 79% of its contemporaries.
We're also able to compare this research output to 144 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 72% of its contemporaries.