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Universal adversarial attacks on deep neural networks for medical image classification

Overview of attention for article published in BMC Medical Imaging, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Universal adversarial attacks on deep neural networks for medical image classification
Published in
BMC Medical Imaging, January 2021
DOI 10.1186/s12880-020-00530-y
Pubmed ID
Authors

Hokuto Hirano, Akinori Minagi, Kazuhiro Takemoto

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 32%
Student > Ph. D. Student 5 15%
Researcher 4 12%
Librarian 1 3%
Student > Bachelor 1 3%
Other 2 6%
Unknown 10 29%
Readers by discipline Count As %
Computer Science 13 38%
Engineering 6 18%
Social Sciences 1 3%
Medicine and Dentistry 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 12 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 March 2021.
All research outputs
#5,037,558
of 18,950,555 outputs
Outputs from BMC Medical Imaging
#56
of 454 outputs
Outputs of similar age
#142,014
of 438,660 outputs
Outputs of similar age from BMC Medical Imaging
#5
of 62 outputs
Altmetric has tracked 18,950,555 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 454 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 87% 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 438,660 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.