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Data Augmentation for Brain-Tumor Segmentation: A Review

Overview of attention for article published in Frontiers in Computational Neuroscience, December 2019
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
3 X users
patent
4 patents

Readers on

mendeley
317 Mendeley
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Title
Data Augmentation for Brain-Tumor Segmentation: A Review
Published in
Frontiers in Computational Neuroscience, December 2019
DOI 10.3389/fncom.2019.00083
Pubmed ID
Authors

Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok

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

Geographical breakdown

Country Count As %
Unknown 317 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 15%
Student > Ph. D. Student 31 10%
Student > Bachelor 25 8%
Researcher 22 7%
Student > Doctoral Student 10 3%
Other 23 7%
Unknown 160 50%
Readers by discipline Count As %
Computer Science 75 24%
Engineering 42 13%
Medicine and Dentistry 10 3%
Neuroscience 4 1%
Biochemistry, Genetics and Molecular Biology 4 1%
Other 12 4%
Unknown 170 54%
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 17 October 2023.
All research outputs
#3,452,227
of 26,726,803 outputs
Outputs from Frontiers in Computational Neuroscience
#140
of 1,506 outputs
Outputs of similar age
#76,795
of 486,210 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 27 outputs
Altmetric has tracked 26,726,803 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 1,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 90% 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 486,210 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 84% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.