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X Demographics
Mendeley readers
| Title |
PoV: An Efficient Voting-Based Consensus Algorithm for Consortium Blockchains
|
|---|---|
| Published in |
Frontiers in Blockchain, March 2020
|
| DOI | 10.3389/fbloc.2020.00011 |
| Authors |
Kejiao Li, Hui Li, Han Wang, Huiyao An, Ping Lu, Peng Yi, Fusheng Zhu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Lecturer | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 2 | 5% |
| Unknown | 15 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 49% |
| Business, Management and Accounting | 1 | 3% |
| Unspecified | 1 | 3% |
| Social Sciences | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 41% |