↓ Skip to main content

Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control

Overview of attention for article published in Frontiers in Neuroscience, November 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control
Published in
Frontiers in Neuroscience, November 2020
DOI 10.3389/fnins.2020.589659
Pubmed ID
Authors

Jonathan Delijorge, Omar Mendoza-Montoya, Jose L. Gordillo, Ricardo Caraza, Hector R. Martinez, Javier M. Antelis

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Ph. D. Student 3 9%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 1 3%
Other 5 15%
Unknown 16 47%
Readers by discipline Count As %
Engineering 8 24%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Neuroscience 1 3%
Other 1 3%
Unknown 17 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 December 2020.
All research outputs
#2,968,282
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,934
of 11,543 outputs
Outputs of similar age
#77,191
of 519,232 outputs
Outputs of similar age from Frontiers in Neuroscience
#128
of 336 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 83% 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 519,232 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 85% of its contemporaries.
We're also able to compare this research output to 336 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.