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Mendeley readers
Attention Score in Context
| Title |
A brain-computer interface with vibrotactile biofeedback for haptic information
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, October 2007
|
| DOI | 10.1186/1743-0003-4-40 |
| Pubmed ID | |
| Authors |
Aniruddha Chatterjee, Vikram Aggarwal, Ander Ramos, Soumyadipta Acharya, Nitish V Thakor |
| Abstract |
It has been suggested that Brain-Computer Interfaces (BCI) may one day be suitable for controlling a neuroprosthesis. For closed-loop operation of BCI, a tactile feedback channel that is compatible with neuroprosthetic applications is desired. Operation of an EEG-based BCI using only vibrotactile feedback, a commonly used method to convey haptic senses of contact and pressure, is demonstrated with a high level of accuracy. |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Germany | 5 | 2% |
| Italy | 2 | <1% |
| Switzerland | 2 | <1% |
| Cuba | 1 | <1% |
| Austria | 1 | <1% |
| France | 1 | <1% |
| Finland | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 253 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 81 | 29% |
| Researcher | 53 | 19% |
| Student > Master | 43 | 15% |
| Student > Bachelor | 31 | 11% |
| Student > Doctoral Student | 15 | 5% |
| Other | 38 | 14% |
| Unknown | 20 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 91 | 32% |
| Neuroscience | 41 | 15% |
| Computer Science | 37 | 13% |
| Agricultural and Biological Sciences | 29 | 10% |
| Medicine and Dentistry | 23 | 8% |
| Other | 25 | 9% |
| Unknown | 35 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 October 2011.
All research outputs
#5,455,655
of 22,653,392 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#310
of 1,275 outputs
Outputs of similar age
#20,190
of 75,390 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 4 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,275 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 75% 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 75,390 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 73% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them