Title |
An image-based modeling framework for patient-specific computational hemodynamics
|
---|---|
Published in |
Medical & Biological Engineering & Computing, November 2008
|
DOI | 10.1007/s11517-008-0420-1 |
Pubmed ID | |
Authors |
Luca Antiga, Marina Piccinelli, Lorenzo Botti, Bogdan Ene-Iordache, Andrea Remuzzi, David A. Steinman |
Mendeley readers
The data shown below were compiled from readership statistics for 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 1% |
United States | 4 | <1% |
Netherlands | 3 | <1% |
India | 3 | <1% |
Italy | 2 | <1% |
Israel | 2 | <1% |
Germany | 2 | <1% |
France | 2 | <1% |
Spain | 2 | <1% |
Other | 3 | <1% |
Unknown | 379 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 103 | 25% |
Researcher | 67 | 16% |
Student > Master | 47 | 12% |
Student > Doctoral Student | 27 | 7% |
Student > Bachelor | 27 | 7% |
Other | 54 | 13% |
Unknown | 83 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 147 | 36% |
Medicine and Dentistry | 51 | 13% |
Computer Science | 30 | 7% |
Mathematics | 14 | 3% |
Physics and Astronomy | 13 | 3% |
Other | 38 | 9% |
Unknown | 115 | 28% |