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Mendeley readers
| Chapter title |
Predicting Tourist Demand Using Big Data
|
|---|---|
| Chapter number | 2 |
| Book title |
Analytics in Smart Tourism Design
|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-44263-1_2 |
| Book ISBNs |
978-3-31-944262-4, 978-3-31-944263-1
|
| Authors |
Haiyan Song, Han Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 14 | 11% |
| Researcher | 12 | 9% |
| Student > Bachelor | 11 | 9% |
| Lecturer | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 37 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 23% |
| Business, Management and Accounting | 23 | 18% |
| Social Sciences | 15 | 12% |
| Engineering | 11 | 9% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 38 | 30% |