The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy
|
---|---|
Published in |
Frontiers in Artificial Intelligence, February 2021
|
DOI | 10.3389/frai.2020.614384 |
Pubmed ID | |
Authors |
Wen Chen, Yimin Li, Nimu Yuan, Jinyi Qi, Brandon A. Dyer, Levent Sensoy, Stanley H. Benedict, Lu Shang, Shyam Rao, Yi Rong |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 11% |
Researcher | 2 | 7% |
Unspecified | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Other | 2 | 7% |
Unknown | 17 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 26% |
Unspecified | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Mathematics | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 1 | 4% |
Unknown | 15 | 56% |