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X Demographics
Mendeley readers
Title |
Transparent Data Mining for Big and Small Data
|
---|---|
Published by |
Springer International Publishing, January 2017
|
DOI | 10.1007/978-3-319-54024-5 |
ISBNs |
978-3-31-954024-5, 978-3-31-954023-8
|
Editors |
Tania Cerquitelli, Daniele Quercia, Frank Pasquale |
X Demographics
The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 7 | 16% |
Spain | 5 | 11% |
United States | 4 | 9% |
Chile | 3 | 7% |
Uruguay | 2 | 5% |
Brazil | 2 | 5% |
Colombia | 2 | 5% |
France | 1 | 2% |
Netherlands | 1 | 2% |
Other | 4 | 9% |
Unknown | 13 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 37 | 84% |
Scientists | 6 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 103 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 30 | 29% |
Student > Bachelor | 16 | 16% |
Student > Ph. D. Student | 14 | 14% |
Researcher | 9 | 9% |
Lecturer | 6 | 6% |
Other | 11 | 11% |
Unknown | 17 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 40 | 39% |
Social Sciences | 14 | 14% |
Engineering | 9 | 9% |
Business, Management and Accounting | 4 | 4% |
Arts and Humanities | 4 | 4% |
Other | 13 | 13% |
Unknown | 19 | 18% |