Table 1. Sample Characteristics.
Full Population | Doctor Population | Non-Doctor Sample | |
---|---|---|---|
English-language tweets | 68,108,441 | 265,412 | 268,301 |
Original tweets | 15,179,051 | 75,713 | 58,708 |
Retweets | 52,929,390 | 189,699 | 209,593 |
Original/Retweet | 22.2%/77.7% | 28.5%/71.5% | 21.9%/78.1% |
With location | 45,879,039 | 219,694 | 180,119 |
% with location | 67.4% | 82.8% | 67.1% |
Number of users | 19,664,145 | 43,877 | 228,062 |
With location | 13,230,150 | 34,959 | 153,841 |
% with location | 67.3% | 79.9% | 67.4% |
Note. Table shows counts for doctors’ tweets and a random sample of non-doctor tweets drawn from the general Twitter population. We limit to English-language tweets. The category of original tweets includes reply tweets.