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Mendeley readers
Chapter title |
Maximum Attribute Relative Approach of Soft Set Theory in Selecting Cluster Attribute of Electronic Government Data Set
|
---|---|
Chapter number | 45 |
Book title |
Recent Advances on Soft Computing and Data Mining
|
Published by |
Springer, Cham, February 2018
|
DOI | 10.1007/978-3-319-72550-5_45 |
Book ISBNs |
978-3-31-972549-9, 978-3-31-972550-5
|
Authors |
Deden Witarsyah Jacob, Iwan Tri Riyadi Yanto, Mohd Farhan Md Fudzee, Mohamad Aizi Salamat |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 16% |
Student > Bachelor | 2 | 11% |
Other | 1 | 5% |
Lecturer | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 3 | 16% |
Unknown | 8 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 3 | 16% |
Computer Science | 3 | 16% |
Business, Management and Accounting | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 53% |