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Mendeley readers
Chapter title |
Evaluation Measures for Event Detection Techniques on Twitter Data Streams
|
---|---|
Chapter number | 11 |
Book title |
Data Science
|
Published by |
Springer, Cham, July 2015
|
DOI | 10.1007/978-3-319-20424-6_11 |
Book ISBNs |
978-3-31-920423-9, 978-3-31-920424-6
|
Authors |
Andreas Weiler, Michael Grossniklaus, Marc H. Scholl |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Australia | 1 | 3% |
Unknown | 37 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 31% |
Student > Master | 10 | 26% |
Student > Doctoral Student | 3 | 8% |
Researcher | 3 | 8% |
Professor | 2 | 5% |
Other | 4 | 10% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 28 | 72% |
Business, Management and Accounting | 2 | 5% |
Social Sciences | 2 | 5% |
Engineering | 1 | 3% |
Unknown | 6 | 15% |