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Mendeley readers
| Chapter title |
Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context
|
|---|---|
| Chapter number | 4 |
| Book title |
Mining, Modeling, and Recommending 'Things' in Social Media
|
| Published by |
Springer, Cham, January 2015
|
| DOI | 10.1007/978-3-319-14723-9_4 |
| Book ISBNs |
978-3-31-914722-2, 978-3-31-914723-9
|
| Authors |
Dominik Kowald, Simone Kopeinik, Paul Seitlinger, Tobias Ley, Dietrich Albert, Christoph Trattner |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | 13% |
| Unknown | 14 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Student > Doctoral Student | 2 | 13% |
| Other | 2 | 13% |
| Professor | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 4 | 25% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 81% |
| Psychology | 2 | 13% |
| Unknown | 1 | 6% |