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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Brain–Computer Interfaces and Brain-State Dependent Stimulation as Tools in Cognitive Neuroscience
|
|---|---|
| Published in |
Frontiers in Psychology, January 2011
|
| DOI | 10.3389/fpsyg.2011.00100 |
| Pubmed ID | |
| Authors |
Ole Jensen, Ali Bahramisharif, Robert Oostenveld, Stefan Klanke, Avgis Hadjipapas, Yuka O. Okazaki, Marcel A. J. van Gerven |
| Abstract |
Large efforts are currently being made to develop and improve online analysis of brain activity which can be used, e.g., for brain-computer interfacing (BCI). A BCI allows a subject to control a device by willfully changing his/her own brain activity. BCI therefore holds the promise as a tool for aiding the disabled and for augmenting human performance. While technical developments obviously are important, we will here argue that new insight gained from cognitive neuroscience can be used to identify signatures of neural activation which reliably can be modulated by the subject at will. This review will focus mainly on oscillatory activity in the alpha band which is strongly modulated by changes in covert attention. Besides developing BCIs for their traditional purpose, they might also be used as a research tool for cognitive neuroscience. There is currently a strong interest in how brain-state fluctuations impact cognition. These state fluctuations are partly reflected by ongoing oscillatory activity. The functional role of the brain state can be investigated by introducing stimuli in real-time to subjects depending on the actual state of the brain. This principle of brain-state dependent stimulation may also be used as a practical tool for augmenting human behavior. In conclusion, new approaches based on online analysis of ongoing brain activity are currently in rapid development. These approaches are amongst others informed by new insight gained from electroencephalography/magnetoencephalography studies in cognitive neuroscience and hold the promise of providing new ways for investigating the brain at work. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 25% |
| Canada | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | 2% |
| United States | 4 | 2% |
| Switzerland | 3 | 1% |
| Germany | 3 | 1% |
| France | 3 | 1% |
| Canada | 2 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 181 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 24% |
| Student > Ph. D. Student | 45 | 22% |
| Student > Master | 30 | 15% |
| Student > Postgraduate | 14 | 7% |
| Professor > Associate Professor | 11 | 5% |
| Other | 32 | 16% |
| Unknown | 25 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 42 | 20% |
| Psychology | 31 | 15% |
| Computer Science | 29 | 14% |
| Engineering | 23 | 11% |
| Agricultural and Biological Sciences | 17 | 8% |
| Other | 29 | 14% |
| Unknown | 35 | 17% |
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 29 January 2020.
All research outputs
#7,329,188
of 24,340,143 outputs
Outputs from Frontiers in Psychology
#10,395
of 32,768 outputs
Outputs of similar age
#52,842
of 188,404 outputs
Outputs of similar age from Frontiers in Psychology
#123
of 239 outputs
Altmetric has tracked 24,340,143 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 32,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 67% 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 188,404 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 71% of its contemporaries.
We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.