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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editorial: Generative adversarial networks in cardiovascular research
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, October 2023
|
| DOI | 10.3389/fcvm.2023.1307812 |
| Pubmed ID | |
| Authors |
Qiang Zhang, Tolga Cukur, Hayit Greenspan, Guang Yang |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Professor > Associate Professor | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Physics and Astronomy | 1 | 20% |
| Unknown | 2 | 40% |
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 25 October 2023.
All research outputs
#15,569,491
of 24,674,353 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,269
of 8,599 outputs
Outputs of similar age
#72,628
of 165,104 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#31
of 245 outputs
Altmetric has tracked 24,674,353 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 8,599 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 70% 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 165,104 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.