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X Demographics
Mendeley readers
| Chapter title |
The Law of Armed Conflict Issues Created by Programming Automatic Target Recognition Systems Using Deep Learning Methods
|
|---|---|
| Chapter number | 4 |
| Book title |
Yearbook of International Humanitarian Law, Volume 21 (2018)
|
| Published by |
T.M.C. Asser Press, The Hague, November 2019
|
| DOI | 10.1007/978-94-6265-343-6_4 |
| Book ISBNs |
978-9-46-265342-9, 978-9-46-265343-6
|
| Authors |
Joshua G. Hughes |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 3 | 38% |
| Argentina | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Unknown | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Researcher | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 25% |
| Social Sciences | 1 | 25% |
| Engineering | 1 | 25% |
| Unknown | 1 | 25% |