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X Demographics
Mendeley readers
Title |
Artificial Intelligence Tools for Cyber Attribution
|
---|---|
Published by |
Springer International Publishing, January 2018
|
DOI | 10.1007/978-3-319-73788-1 |
ISBNs |
978-3-31-973788-1, 978-3-31-973787-4
|
Authors |
Eric Nunes, Paulo Shakarian, Gerardo Simari, Andrew Ruef, Gerardo I. Simari, Nunes, Eric, Shakarian, Paulo, Simari, Gerardo I., Ruef, Andrew |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 56% |
Researcher | 2 | 22% |
Lecturer > Senior Lecturer | 1 | 11% |
Other | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 67% |
Business, Management and Accounting | 1 | 11% |
Social Sciences | 1 | 11% |
Engineering | 1 | 11% |