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EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review

Overview of attention for article published in Frontiers in Human Neuroscience, December 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
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Title
EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review
Published in
Frontiers in Human Neuroscience, December 2022
DOI 10.3389/fnhum.2022.1040816
Pubmed ID
Authors

Valentina Galiotta, Ilaria Quattrociocchi, Mariagrazia D'Ippolito, Francesca Schettini, Pietro Aricò, Stefano Sdoia, Rita Formisano, Febo Cincotti, Donatella Mattia, Angela Riccio

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Researcher 2 9%
Student > Doctoral Student 1 4%
Other 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 14 61%
Readers by discipline Count As %
Nursing and Health Professions 2 9%
Engineering 2 9%
Neuroscience 2 9%
Agricultural and Biological Sciences 1 4%
Environmental Science 1 4%
Other 1 4%
Unknown 14 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 July 2023.
All research outputs
#7,069,729
of 25,775,807 outputs
Outputs from Frontiers in Human Neuroscience
#2,663
of 7,764 outputs
Outputs of similar age
#131,343
of 488,151 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#34
of 149 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% 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 488,151 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 72% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.