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Visualizing Deep Convolutional Neural Networks Using Natural Pre-images

Overview of attention for article published in International Journal of Computer Vision, May 2016
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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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
1 X user
patent
4 patents

Citations

dimensions_citation
350 Dimensions

Readers on

mendeley
523 Mendeley
Title
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images
Published in
International Journal of Computer Vision, May 2016
DOI 10.1007/s11263-016-0911-8
Authors

Aravindh Mahendran, Andrea Vedaldi

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

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Netherlands 1 <1%
Austria 1 <1%
China 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 517 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 28%
Student > Master 94 18%
Researcher 61 12%
Student > Bachelor 43 8%
Other 21 4%
Other 62 12%
Unknown 98 19%
Readers by discipline Count As %
Computer Science 242 46%
Engineering 88 17%
Neuroscience 19 4%
Physics and Astronomy 11 2%
Mathematics 10 2%
Other 41 8%
Unknown 112 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 June 2021.
All research outputs
#4,181,070
of 22,834,308 outputs
Outputs from International Journal of Computer Vision
#175
of 1,148 outputs
Outputs of similar age
#71,666
of 334,096 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 8 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,148 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 83% 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 334,096 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.