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Mendeley readers
Chapter title |
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
|
---|---|
Chapter number | 103 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
|
Published in |
2007, October 2007
|
DOI | 10.1007/978-3-540-75757-3_103 |
Pubmed ID | |
Book ISBNs |
978-3-54-075756-6, 978-3-54-075757-3
|
Authors |
Marc Niethammer, Martin Reuter, Franz-Erich Wolter, Sylvain Bouix, Niklas Peinecke, Min-Seong Koo, Martha E. Shenton, Niethammer, Marc, Reuter, Martin, Wolter, Franz-Erich, Bouix, Sylvain, Peinecke, Niklas, Koo, Min-Seong, Shenton, Martha E. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 4% |
Germany | 1 | 2% |
Tunisia | 1 | 2% |
New Zealand | 1 | 2% |
China | 1 | 2% |
United States | 1 | 2% |
Unknown | 45 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 29% |
Researcher | 10 | 19% |
Professor | 6 | 12% |
Student > Master | 6 | 12% |
Professor > Associate Professor | 3 | 6% |
Other | 4 | 8% |
Unknown | 8 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 25% |
Engineering | 9 | 17% |
Neuroscience | 5 | 10% |
Medicine and Dentistry | 4 | 8% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 6 | 12% |
Unknown | 13 | 25% |