| 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 |
X Demographics
The data shown below were collected from the profiles of 43,728 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7248 | 17% |
| Japan | 2405 | 5% |
| United Kingdom | 1421 | 3% |
| France | 1093 | 2% |
| Spain | 879 | 2% |
| Canada | 764 | 2% |
| Brazil | 493 | 1% |
| Germany | 466 | 1% |
| India | 408 | <1% |
| Other | 5586 | 13% |
| Unknown | 22965 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41554 | 95% |
| Scientists | 1410 | 3% |
| Science communicators (journalists, bloggers, editors) | 476 | 1% |
| Practitioners (doctors, other healthcare professionals) | 285 | <1% |
| Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1173 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 224 | 19% |
| Student > Master | 181 | 15% |
| Researcher | 148 | 13% |
| Student > Bachelor | 104 | 9% |
| Other | 56 | 5% |
| Other | 98 | 8% |
| Unknown | 362 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 521 | 44% |
| Engineering | 119 | 10% |
| Physics and Astronomy | 24 | 2% |
| Arts and Humanities | 12 | 1% |
| Mathematics | 11 | <1% |
| Other | 85 | 7% |
| Unknown | 401 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10652. 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 30 January 2024.
All research outputs
#155
of 25,805,386 outputs
Outputs from arXiv
#1
of 945,959 outputs
Outputs of similar age
#1
of 366,005 outputs
Outputs of similar age from arXiv
#1
of 21,395 outputs
Altmetric has tracked 25,805,386 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 945,959 research outputs from this source. They receive a mean Attention Score of 4.3. 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 366,005 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 21,395 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.