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X Demographics
Mendeley readers
| Title |
Intelligent Smart Contracts for Innovative Supply Chain Management
|
|---|---|
| Published in |
Frontiers in Blockchain, November 2020
|
| DOI | 10.3389/fbloc.2020.535787 |
| Authors |
Paolo Bottoni, Nicola Gessa, Gilda Massa, Remo Pareschi, Hesham Selim, Enrico Arcuri |
X Demographics
The data shown below were collected from the profiles of 9 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 | 33% |
| United Kingdom | 2 | 22% |
| Switzerland | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 5 | 5% |
| Lecturer | 4 | 4% |
| Unspecified | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 47 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 11% |
| Business, Management and Accounting | 9 | 10% |
| Computer Science | 9 | 10% |
| Economics, Econometrics and Finance | 7 | 8% |
| Unspecified | 4 | 4% |
| Other | 5 | 5% |
| Unknown | 47 | 52% |