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X Demographics
Mendeley readers
Chapter title |
Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning
|
---|---|
Chapter number | 62 |
Book title |
Computational Science and Its Applications – ICCSA 2020
|
Published by |
Springer, Cham, July 2020
|
DOI | 10.1007/978-3-030-58811-3_62 |
Book ISBNs |
978-3-03-058810-6, 978-3-03-058811-3
|
Authors |
Ilias Kalouptsoglou, Miltiadis Siavvas, Dimitrios Tsoukalas, Dionysios Kehagias, Kalouptsoglou, Ilias, Siavvas, Miltiadis, Tsoukalas, Dimitrios, Kehagias, Dionysios |
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 % |
---|---|---|
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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 4 | 15% |
Lecturer > Senior Lecturer | 3 | 11% |
Student > Ph. D. Student | 2 | 7% |
Professor | 1 | 4% |
Student > Master | 1 | 4% |
Other | 1 | 4% |
Unknown | 15 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 33% |
Social Sciences | 2 | 7% |
Environmental Science | 1 | 4% |
Unknown | 15 | 56% |