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Table 1 Characteristics of top 50 influencers and lower 50 influencers

From: Analysis of top influencers in critical care medicine “twitterverse” in the COVID-19 era: a descriptive study

Characteristic Top 50 Influencers (Rank 1–50) Lower 50 Influencers (Rank 201–250) P value
N (%) N (%)
Account characteristics    
 Topic score 87 (IQR: 86–89) 75 (IQR: 74–76) p < 0.01
 Following 1082 (IQR: 315–2757) 1160 (IQR: 495–2163) p = 0.694
 Followers 15,118 (IQR: 10,031–27,543) 3699 (IQR: 2443–6688) p < 0.01
Gender    p = 1.0
 Male 42 (84%) 43 (86%)  
Academic indexes    
 H-index 8 (IQR: 3–21) 8 (IQR: 3–16) p = 0.902
 Publications 26 (IQR: 6–72) 27 (IQR: 6–590) p = 0.935
 Citations 222 (IQR: 83–1910) 234 (IQR: 71–2666) p = 0.946
Graduation year    
 Medical school 2002 (IQR: 1995–2005) 2001 (IQR: 1998–2008) p = 0.591
 Residency 2005 (IQR: 2000–2011) 2004 (IQR: 2001–2011) p = 0.725
 Fellowship 2012 (IQR: 2008–2017) 2009 (IQR: 2002–2013) p = 0.129
Location    p = 0.176
 USA 30 (60%) 28 (56%)  
 Other 20 (40%) 22 (44%)  
Practice setting    p = 0. 006
 Academic 44 (88%) 38 (76%)  
 Community 6 (12%) 8 (16%)  
 Private   4 (8%)  
Faculty position    p = 0.445
 Professor 13 (26%) 10 (20%)  
 Associate professor 5 (10%) 6 (12%)  
 Assistant professor 11 (22%) 4 (14%)  
 Instructor 2 (4%)   
 In-training 2 (4%) 3 (6%)  
CCM fellowship 14 (28%) 23 (46%) p = 0.96