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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
|
|---|---|
| Book title |
Computer Vision – ECCV 2020
|
| Published in |
arXiv, November 2020
|
| DOI | 10.1007/978-3-030-58568-6_31 |
| Book ISBNs |
978-3-03-058567-9, 978-3-03-058568-6
|
| Authors |
Jeong-gi Kwak, David K. Han, Hanseok Ko, Kwak, Jeong-gi, Han, David K., Ko, Hanseok |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Bachelor | 6 | 7% |
| Researcher | 3 | 4% |
| Other | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 43 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 37% |
| Engineering | 5 | 6% |
| Economics, Econometrics and Finance | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Unknown | 45 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 November 2020.
All research outputs
#15,175,585
of 24,093,053 outputs
Outputs from arXiv
#295,510
of 1,018,817 outputs
Outputs of similar age
#230,021
of 415,950 outputs
Outputs of similar age from arXiv
#9,760
of 34,573 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 66% 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 415,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34,573 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 67% of its contemporaries.