| Title |
Improvement of image quality at CT and MRI using deep learning
|
|---|---|
| Published in |
Japanese Journal of Radiology, November 2018
|
| DOI | 10.1007/s11604-018-0796-2 |
| Pubmed ID | |
| Authors |
Toru Higaki, Yuko Nakamura, Fuminari Tatsugami, Takeshi Nakaura, 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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 16% |
| Researcher | 28 | 14% |
| Student > Master | 26 | 13% |
| Student > Bachelor | 12 | 6% |
| Other | 11 | 6% |
| Other | 26 | 13% |
| Unknown | 65 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 17% |
| Engineering | 26 | 13% |
| Computer Science | 21 | 11% |
| Nursing and Health Professions | 8 | 4% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 25 | 13% |
| Unknown | 81 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 August 2023.
All research outputs
#7,408,974
of 24,387,992 outputs
Outputs from Japanese Journal of Radiology
#60
of 395 outputs
Outputs of similar age
#143,788
of 446,402 outputs
Outputs of similar age from Japanese Journal of Radiology
#2
of 13 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 395 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 446,402 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 67% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.