You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study
|
|---|---|
| Published in |
Radiation Oncology, April 2022
|
| DOI | 10.1186/s13014-022-02051-0 |
| Pubmed ID | |
| Authors |
Jaehee Chun, Jee Suk Chang, Caleb Oh, InKyung Park, Min Seo Choi, Chae-Seon Hong, Hojin Kim, Gowoon Yang, Jin Young Moon, Seung Yeun Chung, Young Joo Suh, Jin Sung Kim |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Canada | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 13 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 16% |
| Engineering | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Unknown | 13 | 52% |
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 24 April 2022.
All research outputs
#7,006,693
of 23,585,652 outputs
Outputs from Radiation Oncology
#332
of 2,113 outputs
Outputs of similar age
#137,727
of 442,480 outputs
Outputs of similar age from Radiation Oncology
#9
of 46 outputs
Altmetric has tracked 23,585,652 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 2,113 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 84% 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 442,480 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 68% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.