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Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

Overview of attention for article published in Frontiers in Neuroinformatics, March 2023
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1 X user

Citations

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13 Dimensions

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19 Mendeley
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Title
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers
Published in
Frontiers in Neuroinformatics, March 2023
DOI 10.3389/fninf.2023.1123376
Pubmed ID
Authors

Charles A. Ellis, Mohammad S. E. Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 5%
Student > Master 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 11 58%
Readers by discipline Count As %
Neuroscience 3 16%
Computer Science 2 11%
Engineering 2 11%
Unknown 12 63%
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 28 March 2023.
All research outputs
#20,864,077
of 23,485,296 outputs
Outputs from Frontiers in Neuroinformatics
#696
of 772 outputs
Outputs of similar age
#236,194
of 300,574 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#13
of 16 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 1st percentile – i.e., 1% 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 300,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.