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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generative Adversarial Network for Medical Images (MI-GAN)
|
|---|---|
| Published in |
Journal of Medical Systems, October 2018
|
| DOI | 10.1007/s10916-018-1072-9 |
| Pubmed ID | |
| Authors |
Talha Iqbal, Hazrat Ali |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 219 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 17% |
| Student > Master | 30 | 14% |
| Researcher | 22 | 10% |
| Student > Bachelor | 11 | 5% |
| Lecturer | 10 | 5% |
| Other | 26 | 12% |
| Unknown | 83 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 28% |
| Engineering | 33 | 15% |
| Medicine and Dentistry | 7 | 3% |
| Mathematics | 5 | 2% |
| Social Sciences | 4 | 2% |
| Other | 15 | 7% |
| Unknown | 94 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 03 September 2023.
All research outputs
#1,488,766
of 24,929,945 outputs
Outputs from Journal of Medical Systems
#28
of 1,243 outputs
Outputs of similar age
#31,783
of 353,063 outputs
Outputs of similar age from Journal of Medical Systems
#2
of 33 outputs
Altmetric has tracked 24,929,945 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,243 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 353,063 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 90% of its contemporaries.
We're also able to compare this research output to 33 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 96% of its contemporaries.