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X Demographics
Mendeley readers
Title |
Educational Data Mining
|
---|---|
Published by |
Springer International Publishing, November 2013
|
DOI | 10.1007/978-3-319-02738-8 |
ISBNs |
978-3-31-902737-1, 978-3-31-902738-8, 978-3-31-934499-7
|
Editors |
Peña-Ayala, Alejandro |
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 % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 96 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 10% |
Student > Ph. D. Student | 6 | 6% |
Professor > Associate Professor | 5 | 5% |
Student > Bachelor | 4 | 4% |
Student > Doctoral Student | 3 | 3% |
Other | 8 | 8% |
Unknown | 60 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 19% |
Economics, Econometrics and Finance | 3 | 3% |
Chemical Engineering | 2 | 2% |
Mathematics | 1 | 1% |
Nursing and Health Professions | 1 | 1% |
Other | 6 | 6% |
Unknown | 65 | 68% |