Table 1.
Twitter demographics.
| N of participants (%) | N of tweets (%) | |
|---|---|---|
| Individuals | 80 | 246 |
| Gender | ||
| Male | 32 (40.0) | 151 (61.4) |
| Female | 29 (36.3) | 65 (26.4) |
| Unknown | 19 (23.8) | 30 (12.2) |
| Occupation | ||
| Toxicologist | 18 (22.5) | 140 (57.6) |
| Pharmacist | 5 (6.3) | 7 (2.9) |
| Physiciana | 37 (46.3) | 181 (74.5) |
| Emergency medicine | 28 (32.5) | 98 (36.2) |
| Internal medicine | 2 (2.3) | 12 (4.4) |
| Pathology | 1 (1.2) | 2 (0.7) |
| Psychiatry | 2 (2.3) | 3 (1.1 s) |
| Unknown | 8 (9.3) | 14 (5.2) |
| Resident | 6 (7.5) | 2 (0.8) |
| Medical student | 1 (1.3) | 0 (0) |
| Nurse | 6 (7.5) | 14 (5.8) |
| Physician’s assistant | 1 (1.3) | 1 (0.4) |
| Nurse practitioner | 1 (1.3) | 1 (0.4) |
| Paramedic | 3 (3.8) | 13 (5.3) |
| Person in recovery | 3 (3.8) | 10 (4.1) |
| Member of the public | 15 (18.8) | 19 (7.8) |
| Unknown | 13 (16.3) | 19 (7.8) |
| Organizations | 6 | 25 |
| Total | 86 | 271 |
aAll but one toxicologist were physicians and thus counted in both the “toxicologist” and “physician” categories