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A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

Overview of attention for article published in Journal of Big Data, April 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
177 Mendeley
Title
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Published in
Journal of Big Data, April 2023
DOI 10.1186/s40537-023-00727-2
Authors

Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, Jose Santamaría, A. S. Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin Abbosh, Yuantong Gu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 177 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 11%
Student > Master 14 8%
Researcher 13 7%
Unspecified 11 6%
Student > Bachelor 8 5%
Other 22 12%
Unknown 89 50%
Readers by discipline Count As %
Computer Science 32 18%
Engineering 20 11%
Unspecified 13 7%
Agricultural and Biological Sciences 4 2%
Decision Sciences 2 1%
Other 11 6%
Unknown 95 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 March 2024.
All research outputs
#4,390,493
of 25,466,764 outputs
Outputs from Journal of Big Data
#80
of 392 outputs
Outputs of similar age
#79,455
of 417,498 outputs
Outputs of similar age from Journal of Big Data
#1
of 10 outputs
Altmetric has tracked 25,466,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 79% 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 417,498 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 79% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them