Text Data Mining
Springer Singapore
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X Demographics
Mendeley readers
| Title |
Text Data Mining
|
|---|---|
| Published by |
Springer Singapore, January 2021
|
| DOI | 10.1007/978-981-16-0100-2 |
| ISBNs |
978-9-81-160099-9, 978-9-81-160100-2
|
| Authors |
Chengqing Zong, Rui Xia, Jiajun Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 183 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 10% |
| Student > Ph. D. Student | 16 | 9% |
| Student > Bachelor | 15 | 8% |
| Researcher | 11 | 6% |
| Lecturer | 9 | 5% |
| Other | 21 | 11% |
| Unknown | 94 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 23% |
| Engineering | 18 | 10% |
| Social Sciences | 7 | 4% |
| Business, Management and Accounting | 5 | 3% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 11 | 6% |
| Unknown | 98 | 53% |