. 2020 Jul 29;22(7):e13979. doi: 10.2196/13979

Table 6.

Distribution of the themes by the source category.

Total number of tweets in each user category (n)	Theme-wise tweets
Total number of tweets in each user category (n)	Miscellaneous, n (%)	Advice and information n (%)	Experience n (%)	Misconception n (%)	Prayers and wishes n (%)	Seeking medical advice n (%)	Seeking medical/financial help n (%)	Offering medical/financial help n (%)	Analogy n (%)
General users, n=25,774	760 (2.9)^a	1120 (4.3)^a	613 (2.4)^a	1864 (7.2)^a	19,294 (74.9)^a	260 (1.0)^a	291 (1.1)^a	35 (0.1)^a	1537 (5.9)^a
Patients with cancer/survivors, n=854	26 (3.0)	24 (2.8)^a	464 (54.3)^a	7 (0.8)^a	64 (7.5)^a	3 (8.5)^a	183 (21.4)^a	9 (1.1)^a	4 (0.5)^a
Relatives/friends of patients with cancer, n=1913	34 (1.8)^a	42 (2.2)^a	615 (32.1)^a	16 (0.8)^a	821 (42.9)^a	137 (7.2)^a	245 (12.8)^a	0 (0)	3 (0.2)^a
Cancer specialists, n=222	4 (1.8)	206 (92.8)^a	5 (2.2)	0 (0)	0 (0)	4 (1.8)	2 (0.9)	1 (0.4)	0 (0)
Health-related accounts, n=459	46 (10.0)^a	215 (46.8)^a	46 (10.0)^a	21 (4.6)	85 (18.5)^a	13 (2.8)	20 (4.4)	7 (1.5)^a	6 (1.3)^a
Media-related accounts, n=680	62 (9.1)^a	281 (41.3)^a	104 (15.3)^a	176 (25.9)^a	24 (3.5)^a	0 (0)	13 (1.9)	14 (2.1)^a	6 (0.9)^a

^aStatistically significant at Bonferroni-adjusted P<.001.