Transforming Learning with Meaningful Technologies
Springer International Publishing
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X Demographics
Mendeley readers
| Title |
Transforming Learning with Meaningful Technologies
|
|---|---|
| Published by |
Springer International Publishing, January 2019
|
| DOI | 10.1007/978-3-030-29736-7 |
| ISBNs |
978-3-03-029735-0, 978-3-03-029736-7
|
| Editors |
Maren Scheffel, Julien Broisin, Viktoria Pammer-Schindler, Andri Ioannou, Jan Schneider |
X Demographics
The data shown below were collected from the profiles of 112 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| United Kingdom | 6 | 5% |
| France | 5 | 4% |
| Germany | 4 | 4% |
| Norway | 4 | 4% |
| Netherlands | 3 | 3% |
| Israel | 2 | 2% |
| Spain | 2 | 2% |
| Ireland | 2 | 2% |
| Other | 14 | 13% |
| Unknown | 64 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 75 | 67% |
| Scientists | 32 | 29% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 225 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 15% |
| Student > Master | 24 | 11% |
| Researcher | 22 | 10% |
| Lecturer | 15 | 7% |
| Student > Doctoral Student | 13 | 6% |
| Other | 43 | 19% |
| Unknown | 75 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 46 | 20% |
| Social Sciences | 30 | 13% |
| Engineering | 14 | 6% |
| Arts and Humanities | 11 | 5% |
| Linguistics | 7 | 3% |
| Other | 31 | 14% |
| Unknown | 86 | 38% |