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Twitter Demographics
Mendeley readers
| Chapter title |
Semantically-Enabled Optimization of Digital Marketing Campaigns
|
|---|---|
| Chapter number | 22 |
| Book title |
The Semantic Web – ISWC 2019
|
| Published by |
Springer, Cham, October 2019
|
| DOI | 10.1007/978-3-030-30796-7_22 |
| Book ISBNs |
978-3-03-030795-0, 978-3-03-030796-7
|
| Authors |
Vincenzo Cutrona, Flavio De Paoli, Aljaž Košmerlj, Nikolay Nikolov, Matteo Palmonari, Fernando Perales, Dumitru Roman, Cutrona, Vincenzo, De Paoli, Flavio, Košmerlj, Aljaž, Nikolov, Nikolay, Palmonari, Matteo, Perales, Fernando, Roman, Dumitru |
Twitter Demographics
The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| Italy | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 6 | 14% |
| Student > Doctoral Student | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 21 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 10 | 23% |
| Social Sciences | 3 | 7% |
| Economics, Econometrics and Finance | 3 | 7% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 23 | 53% |