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Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces

Overview of attention for article published in Frontiers in Human Neuroscience, June 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces
Published in
Frontiers in Human Neuroscience, June 2022
DOI 10.3389/fnhum.2022.806517
Pubmed ID
Authors

Aline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Unspecified 3 10%
Researcher 3 10%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 3 10%
Unknown 14 45%
Readers by discipline Count As %
Engineering 4 13%
Neuroscience 4 13%
Unspecified 3 10%
Agricultural and Biological Sciences 2 6%
Psychology 1 3%
Other 2 6%
Unknown 15 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 September 2022.
All research outputs
#15,659,831
of 23,269,984 outputs
Outputs from Frontiers in Human Neuroscience
#5,328
of 7,254 outputs
Outputs of similar age
#245,471
of 443,433 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#113
of 200 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 443,433 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.