You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Predicting Student Performance from Combined Data Sources
|
---|---|
Chapter number | 7 |
Book title |
Educational Data Mining
|
Published by |
Springer, Cham, January 2014
|
DOI | 10.1007/978-3-319-02738-8_7 |
Book ISBNs |
978-3-31-902737-1, 978-3-31-902738-8
|
Authors |
Annika Wolff, Zdenek Zdrahal, Drahomira Herrmannova, Petr Knoth, Wolff, Annika, Zdrahal, Zdenek, Herrmannova, Drahomira, Knoth, Petr |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 7% |
Ireland | 1 | 2% |
Unknown | 38 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 19% |
Researcher | 6 | 14% |
Student > Master | 5 | 12% |
Student > Postgraduate | 3 | 7% |
Other | 3 | 7% |
Other | 8 | 19% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 50% |
Social Sciences | 3 | 7% |
Engineering | 2 | 5% |
Business, Management and Accounting | 2 | 5% |
Nursing and Health Professions | 1 | 2% |
Other | 2 | 5% |
Unknown | 11 | 26% |