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X Demographics
Mendeley readers
Chapter title |
Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2
|
---|---|
Chapter number | 3 |
Book title |
Analysis of Images, Social Networks and Texts
|
Published by |
Springer, Cham, February 2017
|
DOI | 10.1007/978-3-319-52920-2_3 |
Book ISBNs |
978-3-31-952919-6, 978-3-31-952920-2
|
Authors |
Aleksandr Semenov, Peter Romov, Sergey Korolev, Daniil Yashkov, Kirill Neklyudov |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 17% |
Student > Master | 9 | 16% |
Student > Bachelor | 8 | 14% |
Researcher | 6 | 10% |
Other | 3 | 5% |
Other | 4 | 7% |
Unknown | 18 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 43% |
Engineering | 4 | 7% |
Social Sciences | 3 | 5% |
Mathematics | 2 | 3% |
Linguistics | 1 | 2% |
Other | 5 | 9% |
Unknown | 18 | 31% |