| Title |
A Computational Approach to Qualitative Analysis in Large Textual Datasets
|
|---|---|
| Published in |
PLOS ONE, February 2014
|
| DOI | 10.1371/journal.pone.0087908 |
| Pubmed ID | |
| Authors |
Michael S. Evans |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 21% |
| Italy | 4 | 14% |
| United States | 3 | 11% |
| Curaçao | 1 | 4% |
| Netherlands | 1 | 4% |
| Brazil | 1 | 4% |
| Japan | 1 | 4% |
| Australia | 1 | 4% |
| Germany | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 71% |
| Scientists | 7 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 3% |
| United States | 3 | 2% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 108 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 21% |
| Student > Master | 17 | 14% |
| Researcher | 14 | 11% |
| Student > Doctoral Student | 8 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Other | 30 | 24% |
| Unknown | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 25 | 20% |
| Arts and Humanities | 15 | 12% |
| Computer Science | 11 | 9% |
| Economics, Econometrics and Finance | 7 | 6% |
| Business, Management and Accounting | 6 | 5% |
| Other | 32 | 26% |
| Unknown | 28 | 23% |