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Mendeley readers
Chapter title |
Predicting Pupil’s Successfulness Factors Using Machine Learning Algorithms and Mathematical Modelling Methods
|
---|---|
Chapter number | 58 |
Book title |
Advances in Computer Science for Engineering and Education II
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-16621-2_58 |
Book ISBNs |
978-3-03-016620-5, 978-3-03-016621-2
|
Authors |
Solomia Fedushko, Taras Ustyianovych, Fedushko, Solomia, Ustyianovych, Taras |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 10% |
Student > Ph. D. Student | 5 | 8% |
Student > Master | 4 | 6% |
Professor > Associate Professor | 3 | 5% |
Lecturer | 2 | 3% |
Other | 6 | 10% |
Unknown | 36 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 15% |
Social Sciences | 5 | 8% |
Engineering | 4 | 6% |
Business, Management and Accounting | 2 | 3% |
Decision Sciences | 2 | 3% |
Other | 3 | 5% |
Unknown | 37 | 60% |