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Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification

Overview of attention for article published in Frontiers in Neuroinformatics, February 2024
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Readers on

mendeley
3 Mendeley
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Title
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification
Published in
Frontiers in Neuroinformatics, February 2024
DOI 10.3389/fninf.2024.1346723
Pubmed ID
Authors

Matteo Ferrante, Tommaso Boccato, Nicola Toschi

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Psychology 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 26 February 2024.
All research outputs
#3,717,357
of 25,411,814 outputs
Outputs from Frontiers in Neuroinformatics
#190
of 835 outputs
Outputs of similar age
#35,464
of 244,510 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 13 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 835 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 76% 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 244,510 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 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.