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Timeline
X Demographics
Mendeley readers
Chapter title |
Real-Time Stance Detection and Issue Analysis of the 2021 German Federal Election Campaign on Twitter
|
---|---|
Chapter number | 9 |
Book title |
Electronic Government
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-15086-9_9 |
Book ISBNs |
978-3-03-115085-2, 978-3-03-115086-9
|
Authors |
Müller, Arthur, Riedl, Jasmin, Drews, Wiebke |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 14% |
Professor > Associate Professor | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Student > Doctoral Student | 1 | 5% |
Professor | 1 | 5% |
Other | 2 | 9% |
Unknown | 11 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 4 | 18% |
Business, Management and Accounting | 3 | 14% |
Computer Science | 1 | 5% |
Arts and Humanities | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 50% |