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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