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Twitter Demographics
Mendeley readers
| Title |
Specialized path-based technique to test Internet of Things system functionality under limited network connectivity
|
|---|---|
| Published in |
Internet of Things, July 2023
|
| DOI | 10.1016/j.iot.2023.100706 |
| Authors |
Matej Klima, Miroslav Bures, Bestoun S. Ahmed, Xavier Bellekens, Robert Atkinson, Christos Tachtatzis, Pavel Herout |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Czechia | 1 | 17% |
| Sweden | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Other | 2 | 25% |
| Lecturer | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 38% |
| Business, Management and Accounting | 1 | 13% |
| Physics and Astronomy | 1 | 13% |
| Computer Science | 1 | 13% |
| Unknown | 2 | 25% |