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Mendeley readers
Chapter title |
Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students’ Performance
|
---|---|
Chapter number | 19 |
Book title |
Soft Computing in Data Science
|
Published by |
Springer, Singapore, December 2018
|
DOI | 10.1007/978-981-13-3441-2_19 |
Book ISBNs |
978-9-81-133440-5, 978-9-81-133441-2
|
Authors |
Mohamed Alloghani, Dhiya Al-Jumeily, Thar Baker, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf, Alloghani, Mohamed, Al-Jumeily, Dhiya, Baker, Thar, Hussain, Abir, Mustafina, Jamila, Aljaaf, Ahmed J. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 15% |
Student > Bachelor | 4 | 10% |
Lecturer | 3 | 7% |
Student > Master | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 9 | 22% |
Unknown | 14 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 34% |
Mathematics | 2 | 5% |
Engineering | 2 | 5% |
Medicine and Dentistry | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 4 | 10% |
Unknown | 16 | 39% |