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Twitter Demographics
Mendeley readers
| Title |
CEPEDALoCo: An event-driven architecture for integrating complex event processing and blockchain through low-code
|
|---|---|
| Published in |
Internet of Things, July 2023
|
| DOI | 10.1016/j.iot.2023.100802 |
| Authors |
Jesús Rosa-Bilbao, Juan Boubeta-Puig, Adrian Rutle |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 6 | 50% |
| Student > Master | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 58% |
| Computer Science | 2 | 17% |
| Unknown | 3 | 25% |