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Mendeley readers
Title |
Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray
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Published in |
BMC Urology, August 2021
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DOI | 10.1186/s12894-021-00874-9 |
Pubmed ID | |
Authors |
Masaki Kobayashi, Junichiro Ishioka, Yoh Matsuoka, Yuichi Fukuda, Yusuke Kohno, Keizo Kawano, Shinji Morimoto, Rie Muta, Motohiro Fujiwara, Naoko Kawamura, Tetsuo Okuno, Soichiro Yoshida, Minato Yokoyama, Rumi Suda, Ryota Saiki, Kenji Suzuki, Itsuo Kumazawa, Yasuhisa Fujii |
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 | 4 | 15% |
Lecturer | 2 | 7% |
Unspecified | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 3 | 11% |
Unknown | 12 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 19% |
Computer Science | 5 | 19% |
Unspecified | 2 | 7% |
Chemical Engineering | 1 | 4% |
Engineering | 1 | 4% |
Other | 1 | 4% |
Unknown | 12 | 44% |