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Data Science and Machine Learning

Overview of attention for book
Attention for Chapter 4: Damage GAN: A Generative Model for Imbalanced Data
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1 X user

Readers on

mendeley
3 Mendeley
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Chapter title
Damage GAN: A Generative Model for Imbalanced Data
Chapter number 4
Book title
Data Science and Machine Learning
Published in
arXiv, December 2023
DOI 10.1007/978-981-99-8696-5_4
Book ISBNs
978-9-81-998695-8, 978-9-81-998696-5
Authors

Anaissi, Ali, Jia, Yuanzhe, Braytee, Ali, Naji, Mohamad, Alyassine, Widad, Ali Anaissi, Yuanzhe Jia, Ali Braytee, Mohamad Naji, Widad Alyassine

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 %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%
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 11 December 2023.
All research outputs
#22,382,309
of 24,978,429 outputs
Outputs from arXiv
#740,078
of 1,018,027 outputs
Outputs of similar age
#150,660
of 190,188 outputs
Outputs of similar age from arXiv
#8,870
of 19,988 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,027 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 190,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19,988 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.