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Mendeley readers
Chapter title |
Analyzing Student Performance in Engineering Placement Using Data Mining
|
---|---|
Chapter number | 18 |
Book title |
Proceedings of International Conference on Computational Intelligence and Data Engineering
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-13-6459-4_18 |
Book ISBNs |
978-9-81-136458-7, 978-9-81-136459-4
|
Authors |
Krishnanshu Agarwal, Ekansh Maheshwari, Chandrima Roy, Manjusha Pandey, Siddharth Swarup Rautray, Agarwal, Krishnanshu, Maheshwari, Ekansh, Roy, Chandrima, Pandey, Manjusha, Rautray, Siddharth Swarup |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 13% |
Student > Doctoral Student | 2 | 13% |
Lecturer | 1 | 7% |
Student > Bachelor | 1 | 7% |
Professor | 1 | 7% |
Other | 2 | 13% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 27% |
Unspecified | 2 | 13% |
Engineering | 2 | 13% |
Environmental Science | 1 | 7% |
Unknown | 6 | 40% |