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Twitter Demographics
Mendeley readers
| Chapter title |
An Assessment of Adoption and Quality of Linked Data in European Open Government Data
|
|---|---|
| Chapter number | 27 |
| Book title |
The Semantic Web – ISWC 2019
|
| Published by |
Springer, Cham, October 2019
|
| DOI | 10.1007/978-3-030-30796-7_27 |
| Book ISBNs |
978-3-03-030795-0, 978-3-03-030796-7
|
| Authors |
Luis-Daniel Ibáñez, Ian Millard, Hugh Glaser, Elena Simperl, Ibáñez, Luis-Daniel, Millard, Ian, Glaser, Hugh, Simperl, Elena |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 5 | 71% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 15% |
| Student > Master | 4 | 15% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 38% |
| Social Sciences | 3 | 12% |
| Business, Management and Accounting | 1 | 4% |
| Mathematics | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 38% |