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Data augmentation using generative adversarial networks for images and biomarkers in medicine and neuroscience

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, May 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Data augmentation using generative adversarial networks for images and biomarkers in medicine and neuroscience
Published in
Frontiers in Applied Mathematics and Statistics, May 2023
DOI 10.3389/fams.2023.1162760
Authors

Maizan Syamimi Meor Yahaya, Jason Teo

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Unknown 4 44%
Readers by discipline Count As %
Unspecified 2 22%
Computer Science 1 11%
Neuroscience 1 11%
Engineering 1 11%
Unknown 4 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 02 May 2024.
All research outputs
#21,033,355
of 25,832,559 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#240
of 409 outputs
Outputs of similar age
#298,968
of 402,107 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#7
of 15 outputs
Altmetric has tracked 25,832,559 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 409 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 20th percentile – i.e., 20% 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 402,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.