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. 2020 Feb 21;1(1):55–66. doi: 10.34197/ats-scholar.2019-0014OC

Table 1.

Comparing #asthma and asthma datasets

  #Asthma Asthma P Value
Monthly totals      
 Tweets 14,276 (13,134–15,703) 148,021 (132,172–168,778) <0.0001
 Users 6,570 (5,949–7,158) 95,013 (88,416–112,719) <0.0001
 Impressions 70.7 million (61.5–87.7 million) 718.2 million (616.8–848.2 million) <0.0001
Characteristics of tweets      
 Percentage of tweets with links 71% (67–76%) 39% (36–44%) <0.0001
 Percentage of tweets with mentions 59% (53–66%) 55% (51–66%) 0.39
 Percentage of tweets with visual media 37% (24–49%) 18% (15–24%) <0.0001
 Percentage of tweets with replies 1% (1–2%) 8% (7–9%) <0.0001
 Percentage of retweets 47% (41–53%) 43% (39–51%) 0.57
 Percentage of tweets with positive sentiment 60% (56–63%) 52% (49–55%) <0.0001

Data are presented as median (interquartile range).