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EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss

Overview of attention for article published in Frontiers in Neuroinformatics, April 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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39 Dimensions

Readers on

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82 Mendeley
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Title
EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss
Published in
Frontiers in Neuroinformatics, April 2020
DOI 10.3389/fninf.2020.00015
Pubmed ID
Authors

Tian-jian Luo, Yachao Fan, Lifei Chen, Gongde Guo, Changle Zhou

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

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Student > Master 9 11%
Researcher 6 7%
Student > Bachelor 5 6%
Other 4 5%
Other 10 12%
Unknown 31 38%
Readers by discipline Count As %
Engineering 24 29%
Computer Science 17 21%
Neuroscience 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Mathematics 1 1%
Other 1 1%
Unknown 36 44%
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 14 May 2020.
All research outputs
#15,323,542
of 23,566,295 outputs
Outputs from Frontiers in Neuroinformatics
#532
of 775 outputs
Outputs of similar age
#225,533
of 379,270 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#17
of 17 outputs
Altmetric has tracked 23,566,295 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 775 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 27th percentile – i.e., 27% 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 379,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.