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X Demographics
Mendeley readers
| Title |
Using Blockchain to Improve Decision Making That Benefits the Public Good
|
|---|---|
| Published in |
Frontiers in Blockchain, March 2020
|
| DOI | 10.3389/fbloc.2020.00013 |
| Authors |
Moran Cerf, Sandra Matz, Aviram Berg |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| United Kingdom | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 7 | 15% |
| Researcher | 4 | 9% |
| Other | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 17 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 6 | 13% |
| Economics, Econometrics and Finance | 6 | 13% |
| Social Sciences | 4 | 9% |
| Computer Science | 4 | 9% |
| Engineering | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 18 | 39% |