| Title |
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
|
|---|---|
| Published in |
Computational Astrophysics and Cosmology, May 2019
|
| DOI | 10.1186/s40668-019-0029-9 |
| Authors |
Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Zarija Lukić, Rami Al-Rfou, Jan M. Kratochvil |
X Demographics
The data shown below were collected from the profiles of 32 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 | 9 | 28% |
| United Kingdom | 3 | 9% |
| Germany | 1 | 3% |
| Nepal | 1 | 3% |
| France | 1 | 3% |
| Switzerland | 1 | 3% |
| Costa Rica | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 72% |
| Scientists | 9 | 28% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Researcher | 12 | 15% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 9 | 11% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 27 | 34% |
| Computer Science | 16 | 20% |
| Engineering | 5 | 6% |
| Mathematics | 4 | 5% |
| Chemistry | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 112. 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 18 April 2024.
All research outputs
#380,365
of 25,743,152 outputs
Outputs from Computational Astrophysics and Cosmology
#3
of 29 outputs
Outputs of similar age
#8,058
of 364,679 outputs
Outputs of similar age from Computational Astrophysics and Cosmology
#1
of 3 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one scored the same or higher as 26 of them.
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 364,679 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 97% of its contemporaries.
We're also able to compare this research output to 3 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