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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Overview of attention for article published in arXiv, May 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 878,401)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
96 news outlets
blogs
17 blogs
policy
3 policy sources
twitter
47661 tweeters
patent
1 patent
facebook
9 Facebook pages
reddit
2 Redditors

Readers on

mendeley
1110 Mendeley
Title
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Published in
arXiv, May 2019
Authors

Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky

Twitter Demographics

The data shown below were collected from the profiles of 47,661 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 1,110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 224 20%
Student > Master 186 17%
Researcher 142 13%
Student > Bachelor 102 9%
Other 52 5%
Other 100 9%
Unknown 304 27%
Readers by discipline Count As %
Computer Science 515 46%
Engineering 117 11%
Physics and Astronomy 24 2%
Agricultural and Biological Sciences 12 1%
Arts and Humanities 11 <1%
Other 89 8%
Unknown 342 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 11567. 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 19 May 2022.
All research outputs
#117
of 21,777,067 outputs
Outputs from arXiv
#1
of 878,401 outputs
Outputs of similar age
#1
of 289,796 outputs
Outputs of similar age from arXiv
#1
of 27,332 outputs
Altmetric has tracked 21,777,067 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 878,401 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 289,796 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 27,332 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 99% of its contemporaries.