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Mendeley readers
Chapter title |
Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks
|
---|---|
Chapter number | 29 |
Book title |
Knowledge-Based Intelligent Information and Engineering Systems
|
Published by |
Springer, Berlin, Heidelberg, September 2003
|
DOI | 10.1007/978-3-540-45224-9_29 |
Book ISBNs |
978-3-54-040803-1, 978-3-54-045224-9
|
Authors |
D. K. Tasoulis, P. Spyridonos, N. G. Pavlidis, D. Cavouras, P. Ravazoula, G. Nikiforidis, M. N. Vrahatis, Tasoulis, D. K., Spyridonos, P., Pavlidis, N. G., Cavouras, D., Ravazoula, P., Nikiforidis, G., Vrahatis, M. N. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 33% |
Librarian | 1 | 11% |
Lecturer | 1 | 11% |
Other | 1 | 11% |
Professor | 1 | 11% |
Other | 1 | 11% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 44% |
Computer Science | 2 | 22% |
Social Sciences | 1 | 11% |
Mathematics | 1 | 11% |
Unknown | 1 | 11% |