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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
|
|---|---|
| Published in |
Frontiers in oncology, October 2022
|
| DOI | 10.3389/fonc.2022.1021084 |
| Pubmed ID | |
| Authors |
Xiuyuan Chen, Hao Xu, Qingyi Qi, Chao Sun, Jian Jin, Heng Zhao, Xun Wang, Wenhan Weng, Shaodong Wang, Xizhao Sui, Zhenfan Wang, Chenyang Dai, Muyun Peng, Dawei Wang, Zenghao Hao, Yafen Huang, Xiang Wang, Liang Duan, Yuming Zhu, Nan Hong, Fan Yang |
X Demographics
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 11% |
| Unspecified | 1 | 6% |
| Researcher | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 11% |
| Unspecified | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 13 | 72% |
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 03 November 2022.
All research outputs
#23,501,977
of 26,179,695 outputs
Outputs from Frontiers in oncology
#16,383
of 22,919 outputs
Outputs of similar age
#377,901
of 443,333 outputs
Outputs of similar age from Frontiers in oncology
#1,552
of 1,726 outputs
Altmetric has tracked 26,179,695 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 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. 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 443,333 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 1,726 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.