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Twitter Demographics
Mendeley readers
| Title |
Efficient Learning Machines
|
|---|---|
| Published by |
Apress, January 2015
|
| DOI | 10.1007/978-1-4302-5990-9 |
| ISBNs |
978-1-4302-5989-3, 978-1-4302-5990-9
|
| Authors |
Awad, Mariette, Khanna, Rahul, Mariette Awad, Rahul Khanna |
Twitter Demographics
The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 25% |
| South Africa | 1 | 6% |
| Lebanon | 1 | 6% |
| Austria | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 974 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 971 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 170 | 17% |
| Student > Bachelor | 121 | 12% |
| Student > Ph. D. Student | 91 | 9% |
| Researcher | 47 | 5% |
| Lecturer | 42 | 4% |
| Other | 137 | 14% |
| Unknown | 366 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 190 | 20% |
| Engineering | 187 | 19% |
| Unspecified | 26 | 3% |
| Mathematics | 19 | 2% |
| Environmental Science | 19 | 2% |
| Other | 139 | 14% |
| Unknown | 394 | 40% |