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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic Segmentation of Clinical Target Volumes for Post-Modified Radical Mastectomy Radiotherapy Using Convolutional Neural Networks
|
|---|---|
| Published in |
Frontiers in oncology, February 2021
|
| DOI | 10.3389/fonc.2020.581347 |
| Pubmed ID | |
| Authors |
Zhikai Liu, Fangjie Liu, Wanqi Chen, Xia Liu, Xiaorong Hou, Jing Shen, Hui Guan, Hongnan Zhen, Shaobin Wang, Qi Chen, Yu Chen, Fuquan Zhang |
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 % |
|---|---|---|
| Unknown | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Master | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 14 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Unspecified | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 15 | 58% |
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 05 March 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from Frontiers in oncology
#15,926
of 22,433 outputs
Outputs of similar age
#395,087
of 455,301 outputs
Outputs of similar age from Frontiers in oncology
#654
of 974 outputs
Altmetric has tracked 25,387,668 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 22,433 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 455,301 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 974 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.