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Mendeley readers
Chapter title |
Community-Based Recommendations on Twitter: Avoiding the Filter Bubble
|
---|---|
Chapter number | 14 |
Book title |
Web Information Systems Engineering – WISE 2019
|
Published by |
Springer, Cham, November 2019
|
DOI | 10.1007/978-3-030-34223-4_14 |
Book ISBNs |
978-3-03-034222-7, 978-3-03-034223-4
|
Authors |
Quentin Grossetti, Cédric du Mouza, Nicolas Travers |
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 > Ph. D. Student | 6 | 27% |
Researcher | 1 | 5% |
Other | 1 | 5% |
Student > Master | 1 | 5% |
Unknown | 13 | 59% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 27% |
Environmental Science | 1 | 5% |
Arts and Humanities | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 0 | 0% |
Unknown | 12 | 55% |