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X Demographics
Mendeley readers
Title |
Data Mining Techniques in Sensor Networks
|
---|---|
Published by |
Springer-Verlag London, January 2014
|
DOI | 10.1007/978-1-4471-5454-9 |
ISBNs |
978-1-4471-5453-2, 978-1-4471-5454-9
|
Authors |
Appice, Annalisa, Ciampi, Anna, Fumarola, Fabio, Malerba, Donato, Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 17% |
Student > Ph. D. Student | 4 | 17% |
Professor > Associate Professor | 2 | 9% |
Student > Doctoral Student | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 4 | 17% |
Unknown | 7 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 30% |
Engineering | 4 | 17% |
Earth and Planetary Sciences | 2 | 9% |
Business, Management and Accounting | 1 | 4% |
Unknown | 9 | 39% |