The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Leveraging machine learning to develop a postoperative predictive model for postoperative urinary retention following lumbar spine surgery
|
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Published in |
Frontiers in Neurology, June 2024
|
DOI | 10.3389/fneur.2024.1386802 |
Pubmed ID | |
Authors |
Samuel L. Malnik, Ken Porche, Yusuf Mehkri, Sijia Yue, Carolina B. Maciel, Brandon P. Lucke-Wold, Steven A. Robicsek, Matthew Decker, Katharina M. Busl |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 86% |
Lecturer | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 86% |
Nursing and Health Professions | 1 | 14% |