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X Demographics
Mendeley readers
Title |
Data Analysis, Machine Learning and Knowledge Discovery
|
---|---|
Published by |
Springer, Cham, January 2014
|
DOI | 10.1007/978-3-319-01595-8 |
ISBNs |
978-3-31-901594-1, 978-3-31-901595-8
|
Editors |
Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
France | 2 | 1% |
United Kingdom | 2 | 1% |
Cyprus | 1 | <1% |
Netherlands | 1 | <1% |
Malaysia | 1 | <1% |
Germany | 1 | <1% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
Other | 6 | 3% |
Unknown | 163 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 24% |
Researcher | 36 | 20% |
Student > Master | 34 | 19% |
Student > Bachelor | 23 | 13% |
Student > Doctoral Student | 8 | 4% |
Other | 25 | 14% |
Unknown | 11 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 60 | 33% |
Engineering | 30 | 17% |
Business, Management and Accounting | 11 | 6% |
Agricultural and Biological Sciences | 11 | 6% |
Economics, Econometrics and Finance | 9 | 5% |
Other | 42 | 23% |
Unknown | 18 | 10% |