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Mendeley readers
Chapter title |
Sinkholes Susceptibility Assessment in Urban Environment Using Heuristic, Statistical and Artificial Neural Network (ANN) Models in Evaporite Karst System: A Case Study from Lesina Marina (Southern Italy)
|
---|---|
Chapter number | 79 |
Book title |
Engineering Geology for Society and Territory - Volume 5
|
Published by |
Springer International Publishing, January 2015
|
DOI | 10.1007/978-3-319-09048-1_79 |
Book ISBNs |
978-3-31-909047-4, 978-3-31-909048-1
|
Authors |
Annachiara D’Angella, Filomena Canora, Giuseppe Spilotro |
Editors |
Giorgio Lollino, Andrea Manconi, Fausto Guzzetti, Martin Culshaw, Peter Bobrowsky, Fabio Luino |
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 % |
---|---|---|
Researcher | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Student > Master | 1 | 13% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 2 | 25% |
Agricultural and Biological Sciences | 1 | 13% |
Decision Sciences | 1 | 13% |
Unknown | 4 | 50% |