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X Demographics
Mendeley readers
| Chapter title |
Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data
|
|---|---|
| Book title |
AI Approaches to the Complexity of Legal Systems XI-XII
|
| Published by |
Springer, Cham, November 2021
|
| DOI | 10.1007/978-3-030-89811-3_19 |
| Book ISBNs |
978-3-03-089810-6, 978-3-03-089811-3
|
| Authors |
Podda, Emanuela, Palmirani, Monica |
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 % |
|---|---|---|
| France | 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 43% |
| Student > Ph. D. Student | 2 | 29% |
| Student > Master | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 29% |
| Chemistry | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 3 | 43% |