↓ Skip to main content

Decoding P300 Variability Using Convolutional Neural Networks

Overview of attention for article published in Frontiers in Human Neuroscience, June 2019
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
58 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
Decoding P300 Variability Using Convolutional Neural Networks
Published in
Frontiers in Human Neuroscience, June 2019
DOI 10.3389/fnhum.2019.00201
Pubmed ID
Authors

Amelia J. Solon, Vernon J. Lawhern, Jonathan Touryan, Jonathan R. McDaniel, Anthony J. Ries, Stephen M. Gordon

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

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Student > Ph. D. Student 11 19%
Researcher 6 10%
Student > Bachelor 3 5%
Student > Postgraduate 3 5%
Other 7 12%
Unknown 17 29%
Readers by discipline Count As %
Computer Science 14 24%
Engineering 11 19%
Neuroscience 3 5%
Medicine and Dentistry 2 3%
Psychology 2 3%
Other 4 7%
Unknown 22 38%
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 16 June 2019.
All research outputs
#17,291,019
of 25,393,455 outputs
Outputs from Frontiers in Human Neuroscience
#5,577
of 7,680 outputs
Outputs of similar age
#226,489
of 360,469 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#78
of 105 outputs
Altmetric has tracked 25,393,455 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 21st percentile – i.e., 21% 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 360,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.