Table 2. Descriptive statistics (N = 326).
| Sample | |||
|---|---|---|---|
| Independent variables | Coding | n | % |
| Controls | |||
| Gender | 0 = Female | 62 | 19.6 |
| 1 = Male | 254 | 80.4 | |
| Seniority | 9 = Professor | 79 | 24.9 |
| 8 = Reader | 21 | 6.6 | |
| 7 = Senior Lecturer | 36 | 11.4 | |
| 6 = Lecturer | 35 | 11.0 | |
| 5 = Research Fellow | 37 | 11.7 | |
| 4 = Research Associate | 34 | 10.7 | |
| 3 = Research Assistant | 10 | 3.2 | |
| 2 = Postdoc Researcher | 30 | 9.5 | |
| 1 = PhD student | 35 | 11.0 | |
| UG degree period | |||
| Pre-HGP | 1 = Yes | 102 | 39.7 |
| During HGP | 1 = Yes | 122 | 47.5 |
| Post-HGP | 1 = Yes | 33 | 12.8 |
| Disciplinea | |||
| Bioinformatics | 1 = Yes | 195 | 59.8 |
| Biology | 1 = Yes | 138 | 42.3 |
| Medicine | 1 = Yes | 31 | 9.5 |
| Computer Science | 1 = Yes | 81 | 24.8 |
| Mathematics | 1 = Yes | 31 | 9.5 |
| Statistics | 1 = Yes | 67 | 20.6 |
| Funding source | |||
| RCUK | 1 = Yes | 220 | 67.4 |
| Charity | 1 = Yes | 138 | 42.3 |
| NHS | 1 = Yes | 15 | 4.6 |
| Commercial | 1 = Yes | 61 | 18.7 |
| EU | 1 = Yes | 108 | 33.1 |
Note: Valid percentages reported.
aRespondents could select more than one discipline to describe their work.