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X Demographics
Mendeley readers
Chapter title |
How the Estonian Tax and Customs Board Evaluated a Tax Fraud Detection System Based on Secure Multi-party Computation
|
---|---|
Chapter number | 14 |
Book title |
Financial Cryptography and Data Security
|
Published by |
Springer, Berlin, Heidelberg, January 2015
|
DOI | 10.1007/978-3-662-47854-7_14 |
Book ISBNs |
978-3-66-247853-0, 978-3-66-247854-7
|
Authors |
Dan Bogdanov, Marko Jõemets, Sander Siim, Meril Vaht |
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 % |
---|---|---|
Singapore | 1 | 50% |
Denmark | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 18% |
Student > Master | 6 | 10% |
Lecturer | 5 | 8% |
Researcher | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Other | 10 | 16% |
Unknown | 20 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 33% |
Business, Management and Accounting | 11 | 18% |
Economics, Econometrics and Finance | 3 | 5% |
Engineering | 2 | 3% |
Arts and Humanities | 1 | 2% |
Other | 3 | 5% |
Unknown | 21 | 34% |