You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Methodologies and Intelligent Systems for Technology Enhanced Learning
|
|---|---|
| Published by |
Springer International Publishing, May 2017
|
| DOI | 10.1007/978-3-319-60819-8 |
| ISBNs |
978-3-31-960818-1, 978-3-31-960819-8
|
| Editors |
Vittorini, Pierpaolo, Gennari, Rosella, Di Mascio, Tania, Rodríguez, Sara, De la Prieta, Fernando, Ramos, Carlos, Azambuja Silveira, Ricardo |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Portugal | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 259 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | <1% |
| Unknown | 258 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | <1% |
| Unknown | 258 | 100% |