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| Title |
Text Mining for Qualitative Data Analysis in the Social Sciences
|
|---|---|
| Published by |
Springer Fachmedien Wiesbaden, January 2016
|
| DOI | 10.1007/978-3-658-15309-0 |
| ISBNs |
978-3-65-815308-3, 978-3-65-815309-0
|
| Authors |
Wiedemann, Gregor, Gregor Wiedemann |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 108 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 22% |
| Student > Master | 12 | 11% |
| Student > Doctoral Student | 11 | 10% |
| Student > Bachelor | 9 | 8% |
| Lecturer | 9 | 8% |
| Other | 27 | 25% |
| Unknown | 17 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 36 | 33% |
| Computer Science | 11 | 10% |
| Linguistics | 10 | 9% |
| Arts and Humanities | 7 | 6% |
| Psychology | 5 | 5% |
| Other | 21 | 19% |
| Unknown | 19 | 17% |