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X Demographics
Mendeley readers
| Chapter title |
Predicting Tennis Match Outcomes with Network Analysis and Machine Learning
|
|---|---|
| Book title |
SOFSEM 2021: Theory and Practice of Computer Science
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-67731-2_37 |
| Book ISBNs |
978-3-03-067730-5, 978-3-03-067731-2
|
| Authors |
Firas Bayram, Davide Garbarino, Annalisa Barla, Bayram, Firas, Garbarino, Davide, Barla, Annalisa |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 50% |
| Brazil | 1 | 17% |
| South Africa | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
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 % |
|---|---|---|
| Professor | 1 | 25% |
| Student > Master | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 50% |
| Unknown | 2 | 50% |