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X Demographics
Mendeley readers
| Title |
Beginning Anomaly Detection Using Python-Based Deep Learning
|
|---|---|
| Published by |
Apress, January 2020
|
| DOI | 10.1007/978-1-4842-5177-5 |
| ISBNs |
978-1-4842-5176-8, 978-1-4842-5177-5
|
| Authors |
Alla, Sridhar , Adari, Suman Kalyan |
X Demographics
The data shown below were collected from the profiles of 50 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 | 6 | 12% |
| India | 4 | 8% |
| Brazil | 3 | 6% |
| Mexico | 2 | 4% |
| Zimbabwe | 1 | 2% |
| Uganda | 1 | 2% |
| Canada | 1 | 2% |
| Australia | 1 | 2% |
| Kenya | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 24 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 86% |
| Scientists | 6 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 24% |
| Student > Ph. D. Student | 19 | 13% |
| Researcher | 15 | 10% |
| Student > Bachelor | 14 | 10% |
| Lecturer | 5 | 3% |
| Other | 20 | 14% |
| Unknown | 38 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 55 | 37% |
| Engineering | 25 | 17% |
| Business, Management and Accounting | 5 | 3% |
| Neuroscience | 3 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 12 | 8% |
| Unknown | 44 | 30% |