The #medlibs Influencers
Top 10 Influential
![]() | @nikdett 100 |
![]() | @pfanderson 99 |
@quasifesto 90 | |
![]() | @lzipperer 81 |
![]() | @krafty 71 |
![]() | @ASawusch 68 |
![]() | @mehlibrarian 68 |
![]() | @cdennison84 16 |
Prolific Tweeters
![]() | @pfanderson 70 |
![]() | @nikdett 37 |
![]() | @lzipperer 30 |
@quasifesto 23 | |
![]() | @mehlibrarian 23 |
![]() | @krafty 21 |
![]() | @ASawusch 7 |
@mscully66 7 | |
![]() | @mandosally 5 |
![]() | @cdennison84 4 |
Highest Impressions
![]() | @pfanderson 757.6K |
![]() | @nikdett 53.3K |
![]() | @krafty 47.2K |
![]() | @mehlibrarian 26.5K |
![]() | @lzipperer 23.1K |
![]() | @mandosally 8.4K |
![]() | @CarolinaFan1982 3.2K |
![]() | @7shores 2.5K |
@mscully66 1.4K | |
![]() | @ASawusch 1.4K |
The Numbers
20.910KImpressions260Tweets
15Participants
208Avg Tweets/Hour
17Avg Tweets/Participant
Twitter data from the #medlibs hashtag from to () โ Symplur.
Top 10 Influencers is determined by the SymplurRank algorithm.
#medlibs Participants










Data for #medlibs can be up to 15 minutes delayed