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Mendeley readers
Chapter title |
Deep Water: Predicting Water Meter Failures Through a Human-Machine Intelligence Collaboration
|
---|---|
Chapter number | 107 |
Book title |
Human Interaction and Emerging Technologies
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-25629-6_107 |
Book ISBNs |
978-3-03-025628-9, 978-3-03-025629-6
|
Authors |
Luca Casini, Giovanni Delnevo, Marco Roccetti, Nicolò Zagni, Giuseppe Cappiello |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 20% |
Researcher | 2 | 20% |
Student > Ph. D. Student | 2 | 20% |
Unspecified | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Other | 1 | 10% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 60% |
Philosophy | 1 | 10% |
Business, Management and Accounting | 1 | 10% |
Unspecified | 1 | 10% |
Unknown | 1 | 10% |