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Photorealistic Reconstruction of Visual Texture From EEG Signals

Overview of attention for article published in Frontiers in Computational Neuroscience, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users

Citations

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8 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Photorealistic Reconstruction of Visual Texture From EEG Signals
Published in
Frontiers in Computational Neuroscience, November 2021
DOI 10.3389/fncom.2021.754587
Pubmed ID
Authors

Suguru Wakita, Taiki Orima, Isamu Motoyoshi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 12%
Student > Master 3 12%
Student > Ph. D. Student 2 8%
Student > Bachelor 1 4%
Other 1 4%
Other 3 12%
Unknown 12 48%
Readers by discipline Count As %
Computer Science 3 12%
Psychology 3 12%
Neuroscience 3 12%
Engineering 2 8%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 13 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 November 2023.
All research outputs
#15,662,695
of 24,811,594 outputs
Outputs from Frontiers in Computational Neuroscience
#726
of 1,430 outputs
Outputs of similar age
#259,101
of 513,972 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#16
of 34 outputs
Altmetric has tracked 24,811,594 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,430 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 45th percentile – i.e., 45% 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 513,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.