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 |
Virtual Patient-Specific Quality Assurance of IMRT Using UNet++: Classification, Gamma Passing Rates Prediction, and Dose Difference Prediction
|
|---|---|
| Published in |
Frontiers in oncology, July 2021
|
| DOI | 10.3389/fonc.2021.700343 |
| Pubmed ID | |
| Authors |
Ying Huang, Yifei Pi, Kui Ma, Xiaojuan Miao, Sichao Fu, Hua Chen, Hao Wang, Hengle Gu, Yan Shao, Yanhua Duan, Aihui Feng, Jiyong Wang, Ruxin Cai, Weihai Zhuo, Zhiyong Xu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 11% |
| Student > Master | 3 | 11% |
| Other | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 14% |
| Medicine and Dentistry | 3 | 11% |
| Nursing and Health Professions | 2 | 7% |
| Mathematics | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 14 | 50% |
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 20 July 2021.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Frontiers in oncology
#15,926
of 22,436 outputs
Outputs of similar age
#382,447
of 445,639 outputs
Outputs of similar age from Frontiers in oncology
#811
of 1,338 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 445,639 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,338 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.