| Title |
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
|
|---|---|
| Published in |
Cognitive Computation, August 2019
|
| DOI | 10.1007/s12559-019-09670-y |
| Authors |
Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomás E. Ward |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| Ireland | 3 | 18% |
| Germany | 2 | 12% |
| Serbia | 1 | 6% |
| Netherlands | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Researcher | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 17 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 32% |
| Business, Management and Accounting | 3 | 6% |
| Psychology | 3 | 6% |
| Engineering | 3 | 6% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 19 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 16 September 2019.
All research outputs
#4,275,618
of 24,998,746 outputs
Outputs from Cognitive Computation
#19
of 436 outputs
Outputs of similar age
#78,214
of 350,533 outputs
Outputs of similar age from Cognitive Computation
#1
of 1 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 436 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 95% 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 350,533 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 77% of its contemporaries.
We're also able to compare this research output to 1 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