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Mendeley readers
Chapter title |
Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction
|
---|---|
Chapter number | 3 |
Book title |
Advances in Neural Networks
|
Published in |
arXiv, January 2016
|
DOI | 10.1007/978-3-319-33747-0_3 |
Book ISBNs |
978-3-31-933746-3, 978-3-31-933747-0
|
Authors |
Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia, Milena Benedettini, Stefano Pezzuto, Sergio Molinari, Anna Maria Di Giorgio, Riccio, Giuseppe, Cavuoti, Stefano, Schisano, Eugenio, Brescia, Massimo, Mercurio, Amata, Elia, Davide, Benedettini, Milena, Pezzuto, Stefano, Molinari, Sergio, Di Giorgio, Anna Maria |
Editors |
Simone Bassis, Anna Esposito, Francesco Carlo Morabito, Eros Pasero |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 31% |
Student > Master | 2 | 13% |
Researcher | 2 | 13% |
Student > Bachelor | 2 | 13% |
Lecturer | 1 | 6% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 10 | 63% |
Computer Science | 2 | 13% |
Engineering | 2 | 13% |
Unknown | 2 | 13% |