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Mendeley readers
| Title |
Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, March 2020
|
| DOI | 10.1186/s12891-020-3164-1 |
| Pubmed ID | |
| Authors |
Yuyu Ishimoto, Amir Jamaludin, Cyrus Cooper, Karen Walker-Bone, Hiroshi Yamada, Hiroshi Hashizume, Hiroyuki Oka, Sakae Tanaka, Noriko Yoshimura, Munehito Yoshida, Jill Urban, Timor Kadir, Jeremy Fairbank |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Researcher | 4 | 12% |
| Other | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 14 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 18% |
| Nursing and Health Professions | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 52% |