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Twitter Demographics
Mendeley readers
Chapter title |
LagProber: Detecting DGA-Based Malware by Using Query Time Lag of Non-existent Domains
|
---|---|
Chapter number | 3 |
Book title |
Information and Communications Security
|
Published by |
Springer, Cham, October 2018
|
DOI | 10.1007/978-3-030-01950-1_3 |
Book ISBNs |
978-3-03-001949-5, 978-3-03-001950-1
|
Authors |
Xi Luo, Liming Wang, Zhen Xu, Wei An, Luo, Xi, Wang, Liming, Xu, Zhen, An, Wei |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 36% |
Researcher | 2 | 14% |
Student > Master | 2 | 14% |
Lecturer | 1 | 7% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 64% |
Physics and Astronomy | 1 | 7% |
Unknown | 4 | 29% |