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Mendeley readers
Chapter title |
DAME: A Distributed Data Mining and Exploration Framework Within the Virtual Observatory
|
---|---|
Chapter number | 18 |
Book title |
Remote Instrumentation for eScience and Related Aspects
|
Published by |
Springer, New York, NY, January 2012
|
DOI | 10.1007/978-1-4614-0508-5_18 |
Book ISBNs |
978-1-4614-0507-8, 978-1-4614-0508-5
|
Authors |
Massimo Brescia, Stefano Cavuoti, Raffaele D’Abrusco, Omar Laurino, Giuseppe Longo |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 7% |
Italy | 1 | 7% |
Unknown | 13 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 27% |
Student > Ph. D. Student | 4 | 27% |
Researcher | 4 | 27% |
Student > Bachelor | 2 | 13% |
Student > Postgraduate | 1 | 7% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 6 | 40% |
Computer Science | 6 | 40% |
Arts and Humanities | 1 | 7% |
Economics, Econometrics and Finance | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |