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Mendeley readers
Chapter title |
Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment
|
---|---|
Chapter number | 49 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-40763-5_49 |
Pubmed ID | |
Book ISBNs |
978-3-64-240762-8, 978-3-64-240763-5
|
Authors |
Sasa Grbic, Tommaso Mansi, Razvan Ionasec, Ingmar Voigt, Helene Houle, Matthias John, Max Schoebinger, Nassir Navab, Dorin Comaniciu, Grbic, Sasa, Mansi, Tommaso, Ionasec, Razvan, Voigt, Ingmar, Houle, Helene, John, Matthias, Schoebinger, Max, Navab, Nassir, Comaniciu, Dorin |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Norway | 1 | 1% |
Unknown | 70 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 26% |
Researcher | 12 | 17% |
Student > Master | 9 | 13% |
Student > Bachelor | 6 | 8% |
Student > Doctoral Student | 4 | 6% |
Other | 11 | 15% |
Unknown | 11 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 28% |
Engineering | 17 | 24% |
Computer Science | 14 | 19% |
Physics and Astronomy | 2 | 3% |
Nursing and Health Professions | 1 | 1% |
Other | 5 | 7% |
Unknown | 13 | 18% |