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Mendeley readers
| Chapter title |
General and Efficient Super-Resolution Method for Multi-slice MRI
|
|---|---|
| Chapter number | 75 |
| Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
|
| Published by |
Springer, Berlin, Heidelberg, September 2010
|
| DOI | 10.1007/978-3-642-15705-9_75 |
| Pubmed ID | |
| Book ISBNs |
978-3-64-215704-2, 978-3-64-215705-9
|
| Authors |
D. H. J. Poot, V. Van Meir, J. Sijbers |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 3 | 4% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 64 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 23% |
| Student > Ph. D. Student | 15 | 21% |
| Student > Master | 9 | 12% |
| Student > Doctoral Student | 5 | 7% |
| Professor | 5 | 7% |
| Other | 14 | 19% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 27% |
| Computer Science | 18 | 25% |
| Physics and Astronomy | 4 | 5% |
| Neuroscience | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 20 | 27% |