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Twitter Demographics
Mendeley readers
| Chapter title |
Text Analytics in Social Media
|
|---|---|
| Chapter number | 12 |
| Book title |
Mining Text Data
|
| Published by |
Springer US, January 2016
|
| DOI | 10.1007/978-1-4614-3223-4_12 |
| Book ISBNs |
978-1-4614-3222-7, 978-1-4614-3223-4
|
| Authors |
Xia Hu, Huan Liu, Hu, Xia, Liu, Huan |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Brazil | 2 | 1% |
| Unknown | 182 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 23% |
| Student > Ph. D. Student | 30 | 16% |
| Student > Bachelor | 21 | 11% |
| Lecturer | 13 | 7% |
| Other | 10 | 5% |
| Other | 34 | 18% |
| Unknown | 36 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 76 | 41% |
| Business, Management and Accounting | 20 | 11% |
| Engineering | 18 | 10% |
| Social Sciences | 8 | 4% |
| Linguistics | 6 | 3% |
| Other | 11 | 6% |
| Unknown | 47 | 25% |