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Mendeley readers
| Chapter title |
J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization
|
|---|---|
| Chapter number | 2 |
| Book title |
Data Mining Applications Using Artificial Adaptive Systems
|
| Published by |
Springer, New York, NY, January 2013
|
| DOI | 10.1007/978-1-4614-4223-3_2 |
| Book ISBNs |
978-1-4614-4222-6, 978-1-4614-4223-3
|
| Authors |
Massimo Buscema, Roberto Passariello, Enzo Grossi, Giulia Massini, Francesco Fraioli, Goffredo Serra |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 38% |
| Researcher | 3 | 38% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 50% |
| Computer Science | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 2 | 25% |