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X Demographics
Mendeley readers
Title |
Machine Learning and Knowledge Discovery in Databases
|
---|---|
Published by |
Springer, Cham, January 2017
|
DOI | 10.1007/978-3-319-71273-4 |
ISBNs |
978-3-31-971272-7, 978-3-31-971273-4
|
Editors |
Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski |
X Demographics
The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 18% |
United Kingdom | 6 | 13% |
Spain | 6 | 13% |
Netherlands | 2 | 4% |
Canada | 1 | 2% |
China | 1 | 2% |
Chile | 1 | 2% |
Brazil | 1 | 2% |
Japan | 1 | 2% |
Other | 3 | 7% |
Unknown | 15 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 71% |
Scientists | 10 | 22% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 23% |
Researcher | 6 | 11% |
Lecturer | 3 | 5% |
Student > Master | 3 | 5% |
Student > Bachelor | 2 | 4% |
Other | 8 | 14% |
Unknown | 22 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 30% |
Engineering | 6 | 11% |
Environmental Science | 3 | 5% |
Earth and Planetary Sciences | 3 | 5% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 4 | 7% |
Unknown | 22 | 39% |