Table 2.
Sample characteristics of users (N=639).
| Characteristics | Value | |
| Discipline, n (%) | ||
|
|
Medicine | 280 (43.8) |
|
|
Nursing | 329 (51.5) |
|
|
Others | 30 (4.7) |
| Gender, n (%) | ||
|
|
Female | 489 (76.5) |
|
|
Male | 133 (20.8) |
|
|
Unknown | 17 (2.7) |
| Country, n (%) | ||
|
|
United States | 287 (44.9) |
|
|
United Kingdom | 197 (30.8) |
|
|
Others | 51 (8.0) |
|
|
Unknown | 104 (16.3) |
| Number of followers | ||
|
|
Mean (SD) | 2361.28 (43443.80) |
|
|
Median | 323.0 |
| Number of tweets | ||
|
|
Mean (SD) | 5343.50 (10168.81) |
|
|
Median | 1463.0 |
| Instances of cyberincivilitya, n (%) | ||
|
|
Absence | 446 (69.8) |
|
|
Presence | 193a (30.2) |
| Cyberincivility by disciplines (n=193)a; n (%) | ||
|
|
Medicine | 63a (32.6) |
|
|
Nursing | 119 (61.7) |
|
|
Others | 11 (5.7) |
aOne medical student account was excluded from the quantitative analysis, as some information could not be verified because of account deletion.