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X Demographics
Mendeley readers
| Title |
An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks
|
|---|---|
| Published by |
Frontiers, June 2019
|
| DOI | 10.3389/fdata.2019.00009 |
| Pubmed ID | |
| Authors |
Obaida Hanteer, Luca Rossi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 43% |
| Researcher | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Other | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 36% |
| Computer Science | 4 | 29% |
| Linguistics | 1 | 7% |
| Environmental Science | 1 | 7% |
| Mathematics | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 1 | 7% |