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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation
|
|---|---|
| Published in |
American Journal of Neuroradiology, January 2019
|
| DOI | 10.3174/ajnr.a5927 |
| Pubmed ID | |
| Authors |
A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori, S. Aoki |
X Demographics
The data shown below were collected from the profiles of 14 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 | 6 | 43% |
| Japan | 1 | 7% |
| Italy | 1 | 7% |
| United Kingdom | 1 | 7% |
| Germany | 1 | 7% |
| Netherlands | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Scientists | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Student > Master | 12 | 14% |
| Student > Postgraduate | 7 | 8% |
| Researcher | 6 | 7% |
| Other | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 23 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 16% |
| Computer Science | 12 | 14% |
| Engineering | 11 | 13% |
| Physics and Astronomy | 4 | 5% |
| Neuroscience | 4 | 5% |
| Other | 9 | 10% |
| Unknown | 33 | 38% |
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 01 December 2020.
All research outputs
#4,627,371
of 25,192,722 outputs
Outputs from American Journal of Neuroradiology
#1,107
of 5,218 outputs
Outputs of similar age
#96,303
of 449,961 outputs
Outputs of similar age from American Journal of Neuroradiology
#29
of 86 outputs
Altmetric has tracked 25,192,722 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,218 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 78% 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 449,961 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 78% of its contemporaries.
We're also able to compare this research output to 86 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.