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Twitter Demographics
Mendeley readers
| Chapter title |
Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph
|
|---|---|
| Chapter number | 23 |
| Book title |
The Semantic Web – ISWC 2018
|
| Published by |
Springer, Cham, September 2018
|
| DOI | 10.1007/978-3-030-00668-6_23 |
| Book ISBNs |
978-3-03-000667-9, 978-3-03-000668-6
|
| Authors |
Stanislav Malyshev, Markus Krötzsch, Larry González, Julius Gonsior, Adrian Bielefeldt |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Researcher | 14 | 16% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 7 | 8% |
| Other | 6 | 7% |
| Other | 17 | 20% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 49% |
| Social Sciences | 4 | 5% |
| Agricultural and Biological Sciences | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Arts and Humanities | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 24 | 28% |