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| Chapter title |
Improved Screw Placement for Slipped Capital Femoral Epiphysis (SCFE) Using Robotically-Assisted Drill Guidance
|
|---|---|
| Chapter number | 61 |
| Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-319-10404-1_61 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
| Authors |
Koutenaei BA, Guler O, Wilson E, Thoranaghatte RU, Oetgen M, Navab N, Cleary K, Bamshad Azizi Koutenaei, Ozgur Guler, Emmanuel Wilson, Ramesh U. Thoranaghatte, Matthew Oetgen, Nassir Navab, Kevin Cleary |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 41 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Master | 9 | 21% |
| Student > Postgraduate | 6 | 14% |
| Other | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 40% |
| Engineering | 8 | 19% |
| Computer Science | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 9 | 21% |