The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Automated detection of knee cystic lesions on magnetic resonance imaging using deep learning
|
---|---|
Published in |
Frontiers in Medicine, August 2022
|
DOI | 10.3389/fmed.2022.928642 |
Pubmed ID | |
Authors |
Tang Xiongfeng, Li Yingzhi, Shen Xianyue, He Meng, Chen Bo, Guo Deming, Qin Yanguo |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 20% |
Student > Doctoral Student | 2 | 20% |
Student > Ph. D. Student | 1 | 10% |
Lecturer | 1 | 10% |
Unknown | 4 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 40% |
Engineering | 2 | 20% |
Unknown | 4 | 40% |