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Mendeley readers
Chapter title |
A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities
|
---|---|
Chapter number | 3 |
Book title |
Multimedia Communications, Services and Security
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-59000-0_3 |
Book ISBNs |
978-3-03-058999-8, 978-3-03-059000-0
|
Authors |
Shahin Rostami, Agnieszka Kleszcz, Daniel Dimanov, Vasilios Katos, Rostami, Shahin, Kleszcz, Agnieszka, Dimanov, Daniel, Katos, Vasilios |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 11% |
Student > Postgraduate | 2 | 11% |
Lecturer | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 5 | 28% |
Unknown | 6 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 39% |
Unspecified | 2 | 11% |
Mathematics | 1 | 6% |
Earth and Planetary Sciences | 1 | 6% |
Engineering | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 33% |