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Mendeley readers
| Chapter title |
Twitter Sentiment Tracking for Predicting Marketing Trends
|
|---|---|
| Chapter number | 2 |
| Book title |
Smart Information Systems
|
| Published by |
Springer, Cham, January 2015
|
| DOI | 10.1007/978-3-319-14178-7_2 |
| Book ISBNs |
978-3-31-914177-0, 978-3-31-914178-7
|
| Authors |
Cagdas Esiyok, Sahin Albayrak |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Student > Master | 5 | 29% |
| Researcher | 3 | 18% |
| Student > Doctoral Student | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 59% |
| Business, Management and Accounting | 2 | 12% |
| Economics, Econometrics and Finance | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 12% |