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Mendeley readers
Chapter title |
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images
|
---|---|
Chapter number | 36 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004
|
Published by |
Springer, Berlin, Heidelberg, September 2004
|
DOI | 10.1007/978-3-540-30135-6_36 |
Book ISBNs |
978-3-54-022976-6, 978-3-54-030135-6
|
Authors |
Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Jo V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan F. Gillies, Daniel Rueckert |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
China | 1 | 5% |
Unknown | 18 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 7 | 35% |
Researcher | 4 | 20% |
Professor > Associate Professor | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 10% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 15% |
Agricultural and Biological Sciences | 2 | 10% |
Psychology | 2 | 10% |
Engineering | 2 | 10% |
Neuroscience | 2 | 10% |
Other | 1 | 5% |
Unknown | 8 | 40% |