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Mendeley readers
| Title |
Development of AI-driven prediction models to realize real-time tumor tracking during radiotherapy
|
|---|---|
| Published in |
Radiation Oncology, February 2022
|
| DOI | 10.1186/s13014-022-02012-7 |
| Pubmed ID | |
| Authors |
Dejun Zhou, Mitsuhiro Nakamura, Nobutaka Mukumoto, Hiroaki Tanabe, Yusuke Iizuka, Michio Yoshimura, Masaki Kokubo, Yukinori Matsuo, Takashi Mizowaki |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 10% |
| Medicine and Dentistry | 2 | 10% |
| Computer Science | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 55% |