Article Figures & Data
Figures
- Fig 1.
Tweet frequency per month over the study period.
Tables
Characteristic Frequency High ER Tweets % High ER Odds Ratioa 95% CIa P Valuea Picture Yes 405 235 58.02% 28.749 17.654–46.816 .000 No 627 23 3.67% # Hashtag Yes 751 242 32.22% 3.266 1.747–6.108 .000 No 281 16 5.69% # Weekday 910 231 25.38% 0.613 0.348–1.081 .91 Weekend 122 27 22.13% # Time of day Morning 606 200 33.00% # 0.298–0.730 .001 Afternoon 318 47 14.78% 0.467 0.249–1.842 .445 Evening 66 7 10.60% 0.677 0.115–1.773 .254 Night 42 4 9.52% 0.452 Type of Tweet Frequency Fellows' Journal Club 19 Editor's Choice 11 Tweet Chat 122 Case 200a Article 384 Blog 159 Other 137 ↵a 186/200 “Case” tweets had a high engagement rate. χ2 analysis of “Case” (200) versus remaining Tweet types (832) showed a significantly higher engagement rate (P < .001; odds ratio, 140.238 [95% CI, 77.387–254.133]).
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