| Title |
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT
|
|---|---|
| Published in |
European Radiology, April 2019
|
| DOI | 10.1007/s00330-019-06170-3 |
| Pubmed ID | |
| Authors |
Motonori Akagi, Yuko Nakamura, Toru Higaki, Keigo Narita, Yukiko Honda, Jian Zhou, Zhou Yu, Naruomi Akino, 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 % |
|---|---|---|
| United States | 1 | 50% |
| Netherlands | 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 177 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 19% |
| Student > Ph. D. Student | 20 | 11% |
| Student > Master | 17 | 10% |
| Student > Bachelor | 14 | 8% |
| Student > Doctoral Student | 10 | 6% |
| Other | 28 | 16% |
| Unknown | 54 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 20% |
| Engineering | 18 | 10% |
| Computer Science | 14 | 8% |
| Physics and Astronomy | 11 | 6% |
| Nursing and Health Professions | 5 | 3% |
| Other | 26 | 15% |
| Unknown | 68 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 January 2020.
All research outputs
#19,416,201
of 23,885,338 outputs
Outputs from European Radiology
#3,126
of 4,416 outputs
Outputs of similar age
#270,678
of 356,426 outputs
Outputs of similar age from European Radiology
#58
of 96 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,416 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 356,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.