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Mendeley readers
Chapter title |
Toward Detecting Illegal Transactions on Bitcoin Using Machine-Learning Methods
|
---|---|
Chapter number | 42 |
Book title |
Blockchain and Trustworthy Systems
|
Published by |
Springer, Singapore, December 2019
|
DOI | 10.1007/978-981-15-2777-7_42 |
Book ISBNs |
978-9-81-152776-0, 978-9-81-152777-7
|
Authors |
Chaehyeon Lee, Sajan Maharjan, Kyungchan Ko, James Won-Ki Hong, Lee, Chaehyeon, Maharjan, Sajan, Ko, Kyungchan, Hong, James Won-Ki |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 21% |
Student > Doctoral Student | 4 | 11% |
Lecturer | 4 | 11% |
Researcher | 3 | 8% |
Student > Ph. D. Student | 2 | 5% |
Other | 4 | 11% |
Unknown | 13 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 29% |
Business, Management and Accounting | 3 | 8% |
Engineering | 2 | 5% |
Economics, Econometrics and Finance | 2 | 5% |
Social Sciences | 2 | 5% |
Other | 2 | 5% |
Unknown | 16 | 42% |