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ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches

Overview of attention for article published in Pattern Recognition, February 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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
22 Mendeley
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Title
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
Published in
Pattern Recognition, February 2023
DOI 10.1016/j.patcog.2022.109064
Authors

Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Bachelor 2 9%
Researcher 2 9%
Professor 2 9%
Unspecified 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Computer Science 8 36%
Engineering 4 18%
Medicine and Dentistry 1 5%
Unspecified 1 5%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 October 2022.
All research outputs
#5,777,175
of 23,507,888 outputs
Outputs from Pattern Recognition
#701
of 2,680 outputs
Outputs of similar age
#96,724
of 422,613 outputs
Outputs of similar age from Pattern Recognition
#1
of 24 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,680 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 422,613 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 77% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.