| Title |
Unveiling the intellectual origins of Social Media-based innovation: insights from a bibliometric approach
|
|---|---|
| Published in |
Scientometrics, May 2016
|
| DOI | 10.1007/s11192-016-1955-9 |
| Authors |
Francesco Paolo Appio, Antonella Martini, Silvia Massa, Stefania Testa |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 2% |
| Netherlands | 1 | <1% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 19% |
| Researcher | 15 | 11% |
| Student > Master | 15 | 11% |
| Student > Doctoral Student | 8 | 6% |
| Professor > Associate Professor | 7 | 5% |
| Other | 24 | 18% |
| Unknown | 39 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 23 | 17% |
| Social Sciences | 15 | 11% |
| Computer Science | 14 | 11% |
| Economics, Econometrics and Finance | 7 | 5% |
| Engineering | 6 | 5% |
| Other | 21 | 16% |
| Unknown | 47 | 35% |