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Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review

Overview of attention for article published in Frontiers in Neurorobotics, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 1,054)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users
patent
1 patent
facebook
1 Facebook page

Readers on

mendeley
345 Mendeley
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Title
Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
Published in
Frontiers in Neurorobotics, July 2017
DOI 10.3389/fnbot.2017.00035
Pubmed ID
Authors

Keum-Shik Hong, Muhammad Jawad Khan

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 345 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 59 17%
Student > Ph. D. Student 55 16%
Researcher 37 11%
Student > Bachelor 35 10%
Student > Doctoral Student 17 5%
Other 50 14%
Unknown 92 27%
Readers by discipline Count As %
Engineering 107 31%
Computer Science 42 12%
Neuroscience 42 12%
Psychology 11 3%
Agricultural and Biological Sciences 8 2%
Other 29 8%
Unknown 106 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 May 2021.
All research outputs
#2,103,262
of 25,837,817 outputs
Outputs from Frontiers in Neurorobotics
#32
of 1,054 outputs
Outputs of similar age
#39,081
of 329,265 outputs
Outputs of similar age from Frontiers in Neurorobotics
#2
of 22 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,054 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 96% 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 329,265 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 87% of its contemporaries.
We're also able to compare this research output to 22 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 90% of its contemporaries.