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Painting style transfer for head portraits using convolutional neural networks

Overview of attention for article published in ACM Transactions on Graphics, July 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Readers on

mendeley
98 Mendeley
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Title
Painting style transfer for head portraits using convolutional neural networks
Published in
ACM Transactions on Graphics, July 2016
DOI 10.1145/2897824.2925968
Authors

Ahmed Selim, Mohamed Elgharib, Linda Doyle

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 24%
Student > Master 23 23%
Student > Bachelor 13 13%
Researcher 12 12%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 9 9%
Readers by discipline Count As %
Computer Science 60 61%
Engineering 16 16%
Arts and Humanities 4 4%
Mathematics 2 2%
Neuroscience 1 1%
Other 3 3%
Unknown 12 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 September 2019.
All research outputs
#4,273,750
of 15,164,597 outputs
Outputs from ACM Transactions on Graphics
#676
of 1,956 outputs
Outputs of similar age
#80,347
of 266,280 outputs
Outputs of similar age from ACM Transactions on Graphics
#21
of 52 outputs
Altmetric has tracked 15,164,597 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,956 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 65% 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 266,280 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 69% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.