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X Demographics
Mendeley readers
Title |
Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm
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Published in |
Frontiers in Artificial Intelligence, February 2024
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DOI | 10.3389/frai.2024.1331853 |
Pubmed ID | |
Authors |
Zhewei Zhang, Chunhai Ke, Zhibin Zhang, Yujiong Chen, Hangbin Weng, Jieyang Dong, Mingming Hao, Botao Liu, Minzhe Zheng, Jin Li, Shaohua Ding, Yihong Dong, Zhaoxiang Peng |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Postgraduate | 1 | 50% |
Unknown | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 50% |
Unknown | 1 | 50% |