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Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers

Overview of attention for article published in Frontiers in Neuroscience, January 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 11,538)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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40 news outlets
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

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152 Dimensions

Readers on

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161 Mendeley
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Title
Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers
Published in
Frontiers in Neuroscience, January 2010
DOI 10.3389/fnins.2010.00182
Pubmed ID
Authors

Jana I. Münßinger, Sebastian Halder, Sonja C. Kleih, Adrian Furdea, Valerio Raco, Adi Hösle, Andrea Kübler

Abstract

Brain-computer interfaces (BCIs) enable paralyzed patients to communicate; however, up to date, no creative expression was possible. The current study investigated the accuracy and user-friendliness of P300-Brain Painting, a new BCI application developed to paint pictures using brain activity only. Two different versions of the P300-Brain Painting application were tested: A colored matrix tested by a group of ALS-patients (n = 3) and healthy participants (n = 10), and a black and white matrix tested by healthy participants (n = 10). The three ALS-patients achieved high accuracies; two of them reaching above 89% accuracy. In healthy subjects, a comparison between the P300-Brain Painting application (colored matrix) and the P300-Spelling application revealed significantly lower accuracy and P300 amplitudes for the P300-Brain Painting application. This drop in accuracy and P300 amplitudes was not found when comparing the P300-Spelling application to an adapted, black and white matrix of the P300-Brain Painting application. By employing a black and white matrix, the accuracy of the P300-Brain Painting application was significantly enhanced and reached the accuracy of the P300-Spelling application. ALS-patients greatly enjoyed P300-Brain Painting and were able to use the application with the same accuracy as healthy subjects. P300-Brain Painting enables paralyzed patients to express themselves creatively and to participate in the prolific society through exhibitions.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 3%
United States 4 2%
Spain 2 1%
South Africa 1 <1%
Hungary 1 <1%
Austria 1 <1%
New Zealand 1 <1%
Unknown 146 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 27%
Student > Master 26 16%
Researcher 22 14%
Student > Bachelor 16 10%
Student > Postgraduate 7 4%
Other 16 10%
Unknown 31 19%
Readers by discipline Count As %
Engineering 32 20%
Computer Science 29 18%
Psychology 18 11%
Neuroscience 17 11%
Medicine and Dentistry 12 7%
Other 14 9%
Unknown 39 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 333. 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 23 July 2022.
All research outputs
#99,501
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#38
of 11,538 outputs
Outputs of similar age
#274
of 172,626 outputs
Outputs of similar age from Frontiers in Neuroscience
#1
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 99% 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 172,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.