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Twitter Demographics
Mendeley readers
| Title |
Methodologies and Intelligent Systems for Technology Enhanced Learning, 6th International Conference
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-40165-2 |
| ISBNs |
978-3-31-940164-5, 978-3-31-940165-2
|
| Editors |
Mauro Caporuscio, Fernando De la Prieta, Tania Di Mascio, Rosella Gennari, Javier Gutiérrez Rodríguez, Pierpaolo Vittorini |
Twitter Demographics
The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 30% |
| Italy | 2 | 20% |
| Portugal | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Finland | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 18% |
| Researcher | 3 | 14% |
| Student > Master | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 23% |
| Psychology | 4 | 18% |
| Arts and Humanities | 2 | 9% |
| Unspecified | 2 | 9% |
| Social Sciences | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 6 | 27% |