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X Demographics
Mendeley readers
Title |
Review of Automated Vulnerability Analysis of Smart Contracts on Ethereum
|
---|---|
Published in |
Frontiers in Blockchain, March 2022
|
DOI | 10.3389/fbloc.2022.814977 |
Authors |
Heidelinde Rameder, Monika di Angelo, Gernot Salzer |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 13% |
Student > Master | 4 | 13% |
Lecturer | 2 | 6% |
Other | 2 | 6% |
Researcher | 2 | 6% |
Other | 4 | 13% |
Unknown | 14 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 38% |
Unspecified | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 47% |