| Title |
Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography
|
|---|---|
| Published in |
European Radiology, May 2019
|
| DOI | 10.1007/s00330-019-06265-x |
| Pubmed ID | |
| Authors |
Wei-Chih Shen, Shang-Wen Chen, Kuo-Chen Wu, Te-Chun Hsieh, Ji-An Liang, Yao-Ching Hung, Lian-Shung Yeh, Wei-Chun Chang, Wu-Chou Lin, Kuo-Yang Yen, Chia-Hung Kao |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Researcher | 7 | 11% |
| Other | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 17 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Computer Science | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Physics and Astronomy | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 22 | 36% |
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 20 February 2020.
All research outputs
#14,451,320
of 23,149,216 outputs
Outputs from European Radiology
#2,198
of 4,190 outputs
Outputs of similar age
#192,153
of 350,278 outputs
Outputs of similar age from European Radiology
#25
of 65 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,190 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 44th percentile – i.e., 44% 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 350,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.