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X Demographics
Mendeley readers
| Title |
Quantifying the econometric loss of a cyber-physical attack on a seaport
|
|---|---|
| Published in |
Frontiers in Computer Science, January 2023
|
| DOI | 10.3389/fcomp.2022.1057507 |
| Authors |
Kimberly Tam, Barbara Chang, Rory Hopcraft, Kemedi Moara-Nkwe, Kevin Jones |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 10% |
| Student > Master | 2 | 10% |
| Researcher | 2 | 10% |
| Librarian | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 15% |
| Computer Science | 2 | 10% |
| Decision Sciences | 2 | 10% |
| Physics and Astronomy | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 45% |