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Mendeley readers
Chapter title |
On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources
|
---|---|
Chapter number | 34 |
Book title |
Computational Science – ICCS 2020
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-50417-5_34 |
Book ISBNs |
978-3-03-050416-8, 978-3-03-050417-5
|
Authors |
Andrea Tundis, Samuel Ruppert, Max Mühlhäuser, Tundis, Andrea, Ruppert, Samuel, Mühlhäuser, Max |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 12% |
Student > Master | 3 | 7% |
Lecturer | 3 | 7% |
Student > Ph. D. Student | 2 | 5% |
Other | 1 | 2% |
Other | 5 | 12% |
Unknown | 23 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 31% |
Business, Management and Accounting | 2 | 5% |
Engineering | 2 | 5% |
Economics, Econometrics and Finance | 1 | 2% |
Unspecified | 1 | 2% |
Other | 0 | 0% |
Unknown | 23 | 55% |