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. Author manuscript; available in PMC: 2022 May 9.
Published in final edited form as: J Quant Descr Digit Media. 2022;2:10.51685/jqd.2022.012. doi: 10.51685/jqd.2022.012

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.