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X Demographics
Mendeley readers
| Title |
Sentiment Analysis of European Bonds 2016–2018
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2019
|
| DOI | 10.3389/frai.2019.00020 |
| Pubmed ID | |
| Authors |
Peter Schwendner, Martin Schüle, Martin Hillebrand |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 33% |
| United Kingdom | 1 | 17% |
| Italy | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 27% |
| Lecturer | 1 | 9% |
| Other | 1 | 9% |
| Professor | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 36% |
| Business, Management and Accounting | 1 | 9% |
| Economics, Econometrics and Finance | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 4 | 36% |