| Title |
Deep learning–based image restoration algorithm for coronary CT angiography
|
|---|---|
| Published in |
European Radiology, April 2019
|
| DOI | 10.1007/s00330-019-06183-y |
| Pubmed ID | |
| Authors |
Fuminari Tatsugami, Toru Higaki, Yuko Nakamura, Zhou Yu, Jian Zhou, Yujie Lu, Chikako Fujioka, Toshiro Kitagawa, Yasuki Kihara, Makoto Iida, Kazuo Awai |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 11% |
| Researcher | 12 | 11% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Bachelor | 8 | 7% |
| Other | 7 | 6% |
| Other | 16 | 14% |
| Unknown | 46 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 25% |
| Computer Science | 7 | 6% |
| Engineering | 6 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Physics and Astronomy | 3 | 3% |
| Other | 7 | 6% |
| Unknown | 57 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 April 2021.
All research outputs
#7,480,508
of 26,017,215 outputs
Outputs from European Radiology
#1,116
of 5,146 outputs
Outputs of similar age
#130,427
of 370,088 outputs
Outputs of similar age from European Radiology
#27
of 106 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,146 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 77% 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 370,088 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 64% of its contemporaries.
We're also able to compare this research output to 106 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 73% of its contemporaries.