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Multi-modal Virtual Scenario Enhances Neurofeedback Learning

Overview of attention for article published in Frontiers in Robotics and AI, August 2016
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
11 X users
facebook
2 Facebook pages

Readers on

mendeley
83 Mendeley
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Title
Multi-modal Virtual Scenario Enhances Neurofeedback Learning
Published in
Frontiers in Robotics and AI, August 2016
DOI 10.3389/frobt.2016.00052
Authors

Avihay Cohen, Jackob N. Keynan, Gilan Jackont, Nilli Green, Iris Rashap, Ofir Shani, Fred Charles, Marc Cavazza, Talma Hendler, Gal Raz

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Australia 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Master 14 17%
Student > Bachelor 11 13%
Researcher 9 11%
Student > Doctoral Student 5 6%
Other 4 5%
Unknown 25 30%
Readers by discipline Count As %
Psychology 18 22%
Neuroscience 12 14%
Computer Science 10 12%
Engineering 5 6%
Arts and Humanities 2 2%
Other 8 10%
Unknown 28 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 February 2024.
All research outputs
#4,233,184
of 25,351,219 outputs
Outputs from Frontiers in Robotics and AI
#269
of 1,758 outputs
Outputs of similar age
#66,491
of 346,546 outputs
Outputs of similar age from Frontiers in Robotics and AI
#3
of 19 outputs
Altmetric has tracked 25,351,219 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 84% 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 346,546 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 80% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.