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Towards an EEG-based brain-computer interface for online robot control

Overview of attention for article published in Multimedia Tools and Applications, June 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
48 Mendeley
Title
Towards an EEG-based brain-computer interface for online robot control
Published in
Multimedia Tools and Applications, June 2015
DOI 10.1007/s11042-015-2717-z
Authors

Yantao Li, Gang Zhou, Daniel Graham, Andrew Holtzhauer

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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Researcher 7 15%
Student > Ph. D. Student 6 13%
Student > Doctoral Student 3 6%
Student > Bachelor 2 4%
Other 8 17%
Unknown 12 25%
Readers by discipline Count As %
Engineering 14 29%
Computer Science 11 23%
Psychology 4 8%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 6%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 May 2022.
All research outputs
#14,988,328
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#869
of 4,321 outputs
Outputs of similar age
#138,310
of 267,354 outputs
Outputs of similar age from Multimedia Tools and Applications
#13
of 18 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 79% 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 267,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.