Table 1.
Frequency of tweets by their content category.
| Content category | Original tweets by @CDC_AMD, n (%) | Retweets of other Twitter users’ tweets by @CDC_AMD, n (%) | All tweets posted by @CDC_AMD, n (%) |
| Tweets that refer to the CDCa AMDb website | 354 (51.9) | 6 (7) | 360 (46.9) |
| Tweets that refer to publications of CDC AMD scientists (usually their abstracts on PubMed) | 133 (19.5) | 2 (2) | 135 (17.6) |
| Training: announcement of webinars, every quarter, collaborated with APHLc | 26 (3.8) | 2 (2) | 28 (3.6) |
| Training: announcement of CDC Bioinformatics fellowship program, collaborated with APHL | 29 (4.3) | 4 (5) | 33 (4.3) |
| CDC AMD scientists’ activities, such as their visit to a state | 15 (2.2) | 3 (3) | 18 (2.3) |
| Miscellaneous: anything that does not belong to the aforementioned categories | 125 (18.3) | 69 (80) | 194 (25.3) |
| Total | 682 (100.0) | 86 (100) | 768 (100.0) |
aCDC: Centers for Disease Control and Prevention.
bAMD: advanced molecular detection.
cAPHL: Association of Public Health Laboratories.