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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Geometric and Dosimetric Evaluation of Deep Learning-Based Automatic Delineation on CBCT-Synthesized CT and Planning CT for Breast Cancer Adaptive Radiotherapy: A Multi-Institutional Study
|
|---|---|
| Published in |
Frontiers in oncology, November 2021
|
| DOI | 10.3389/fonc.2021.725507 |
| Pubmed ID | |
| Authors |
Zhenhui Dai, Yiwen Zhang, Lin Zhu, Junwen Tan, Geng Yang, Bailin Zhang, Chunya Cai, Huaizhi Jin, Haoyu Meng, Xiang Tan, Wanwei Jian, Wei Yang, Xuetao Wang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 14% |
| Student > Doctoral Student | 2 | 7% |
| Unspecified | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 14% |
| Medicine and Dentistry | 4 | 14% |
| Unspecified | 2 | 7% |
| Engineering | 2 | 7% |
| Materials Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 52% |
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 03 December 2021.
All research outputs
#16,059,145
of 25,392,582 outputs
Outputs from Frontiers in oncology
#5,644
of 22,436 outputs
Outputs of similar age
#230,567
of 441,011 outputs
Outputs of similar age from Frontiers in oncology
#310
of 1,468 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 has gotten more attention than average, scoring higher than 71% 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 441,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,468 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.