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Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset

Overview of attention for article published in Frontiers in Neuroinformatics, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
3 X users

Readers on

mendeley
18 Mendeley
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Title
Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset
Published in
Frontiers in Neuroinformatics, February 2021
DOI 10.3389/fninf.2021.577451
Pubmed ID
Authors

Sunao Yotsutsuji, Miaomei Lei, Hiroyuki Akama

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 9 50%
Readers by discipline Count As %
Computer Science 3 17%
Unspecified 2 11%
Engineering 2 11%
Economics, Econometrics and Finance 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 February 2021.
All research outputs
#3,202,399
of 25,145,981 outputs
Outputs from Frontiers in Neuroinformatics
#141
of 820 outputs
Outputs of similar age
#87,761
of 529,713 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#9
of 15 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 820 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 82% of its peers.
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 529,713 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.