| Title |
Automatic Segmentation of Clinical Target Volume and Organs-at-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural Network
|
|---|---|
| Published in |
Cancer Management and Research, November 2021
|
| DOI | 10.2147/cmar.s330249 |
| Pubmed ID | |
| Authors |
Zhikai Liu, Fangjie Liu, Wanqi Chen, Yinjie Tao, Xia Liu, Fuquan Zhang, Jing Shen, Hui Guan, Hongnan Zhen, Shaobin Wang, Qi Chen, Yu Chen, Xiaorong Hou |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 14 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Engineering | 2 | 8% |
| Computer Science | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 November 2021.
All research outputs
#13,749,545
of 23,310,485 outputs
Outputs from Cancer Management and Research
#488
of 2,022 outputs
Outputs of similar age
#191,632
of 440,316 outputs
Outputs of similar age from Cancer Management and Research
#21
of 113 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 74% 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 440,316 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 54% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.