Table 1 Demographic data
From: Language of transducer manipulation 2.0: continuing to codify terms for effective teaching
Age | n  =  386 |
 18–24 | 30 (8%) |
 25–34 | 133 (34%) |
 35–44 | 123 (32%) |
 45–54 | 62 (16%) |
 55–64 | 32 (8%) |
 65–74 | 6 (2%) |
 75  + | 0 |
Gender | n  =  314 |
 Male | 94 (30%) |
 Female | 218 (69%) |
 Other | 2 (<  1%) |
Training | n  =  406 |
 US | 391 (96%) |
 International | 15 (4%) |
US training location | n  =  377 |
 Northeast | 102 (27%) |
 Midwest | 85 (23%) |
 West | 49 (13%) |
 South | 141 (37%) |
Years of experience | n  =  407 |
 <  1 | 5 (1%) |
 1–4 | 88 (22%) |
 5–9 | 128 (31%) |
 10–14 | 89 (22%) |
 15–19 | 42 (10%) |
 20–24 | 20 (5%) |
 25  + | 35 (9%) |
Field of training | n  =  411 |
 Sonographer | 269 (65%) |
 Physician | 141 (34%) |
 APP | 1 (<  1%) |