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Sketch-a-Net: A Deep Neural Network that Beats Humans

Overview of attention for article published in International Journal of Computer Vision, July 2016
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

patent
11 patents

Readers on

mendeley
128 Mendeley
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Article details
Title
Sketch-a-Net: A Deep Neural Network that Beats Humans
Published in
International Journal of Computer Vision, July 2016
DOI 10.1007/s11263-016-0932-3
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 39 30%
Student > Master 13 10%
Student > Bachelor 8 6%
Researcher 8 6%
Lecturer 7 5%
Other 11 9%
Unknown 42 33%
Readers by discipline
Readers by discipline Count As %
Computer Science 54 42%
Engineering 15 12%
Arts and Humanities 2 2%
Business, Management and Accounting 2 2%
Linguistics 2 2%
Other 6 5%
Unknown 47 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 18 March 2025.
All research outputs
#3,360,651
of 23,269,984 outputs
Outputs from International Journal of Computer Vision
#113
of 1,185 outputs
Outputs of similar age
#63,793
of 366,979 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 10 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,185 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 85% 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 366,979 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 82% 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