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Mendeley readers
| Chapter title |
Measuring the Effectiveness of E-Wallet in Malaysia
|
|---|---|
| Chapter number | 5 |
| Book title |
Big Data, Cloud Computing, Data Science & Engineering
|
| Published by |
Springer, Cham, July 2018
|
| DOI | 10.1007/978-3-319-96803-2_5 |
| Book ISBNs |
978-3-31-996802-5, 978-3-31-996803-2
|
| Authors |
Faisal Nizam, Ha Jin Hwang, Naser Valaei |
Mendeley readers
The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 252 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 42 | 17% |
| Student > Master | 25 | 10% |
| Student > Ph. D. Student | 17 | 7% |
| Lecturer | 14 | 6% |
| Student > Postgraduate | 7 | 3% |
| Other | 21 | 8% |
| Unknown | 126 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 52 | 21% |
| Computer Science | 23 | 9% |
| Economics, Econometrics and Finance | 16 | 6% |
| Social Sciences | 12 | 5% |
| Engineering | 3 | 1% |
| Other | 12 | 5% |
| Unknown | 134 | 53% |