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Twitter Demographics
Mendeley readers
Title |
Encyclopedia of Machine Learning and Data Mining
|
---|---|
Published by |
Springer US, January 2017
|
DOI | 10.1007/978-1-4899-7687-1 |
ISBNs |
978-1-4899-7685-7, 978-1-4899-7687-1, 978-1-4899-7686-4
|
Editors |
Claude Sammut, Geoffrey I. Webb |
Twitter Demographics
The data shown below were collected from the profiles of 38 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 7 | 18% |
United States | 4 | 11% |
Colombia | 1 | 3% |
United Kingdom | 1 | 3% |
Morocco | 1 | 3% |
Pakistan | 1 | 3% |
Finland | 1 | 3% |
Japan | 1 | 3% |
Germany | 1 | 3% |
Other | 2 | 5% |
Unknown | 18 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 30 | 79% |
Scientists | 7 | 18% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 833 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 833 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 124 | 15% |
Student > Bachelor | 120 | 14% |
Student > Ph. D. Student | 111 | 13% |
Researcher | 49 | 6% |
Student > Doctoral Student | 39 | 5% |
Other | 118 | 14% |
Unknown | 272 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 248 | 30% |
Engineering | 105 | 13% |
Business, Management and Accounting | 29 | 3% |
Mathematics | 15 | 2% |
Economics, Econometrics and Finance | 14 | 2% |
Other | 123 | 15% |
Unknown | 299 | 36% |