The #medlibs Influencers
Top 10 Influential
![]() | @nikdett 100 |
![]() | @krafty 99 |
![]() | @kiwano1 90 |
![]() | @mehlibrarian 83 |
![]() | @TBrigham 76 |
![]() | @MR_INFO_Mark 72 |
![]() | @CarolinaFan1982 65 |
![]() | @siobhanmaire 60 |
![]() | @aldricham 52 |
![]() | @blevinsa 48 |
Prolific Tweeters
![]() | @nikdett 51 |
![]() | @krafty 30 |
![]() | @mehlibrarian 29 |
![]() | @MR_INFO_Mark 17 |
@mscully66 13 | |
![]() | @TBrigham 10 |
![]() | @kiwano1 9 |
![]() | @CarolinaFan1982 8 |
![]() | @7shores 8 |
![]() | @blevinsa 5 |
Highest Impressions
![]() | @nikdett 64.7K |
![]() | @krafty 40.4K |
![]() | @MR_INFO_Mark 27.2K |
![]() | @7shores 10.1K |
![]() | @mehlibrarian 8.6K |
![]() | @mandosally 5.4K |
![]() | @kiwano1 4.1K |
![]() | @CarolinaFan1982 3.8K |
![]() | @pat_devine 3.5K |
![]() | @blevinsa 1.3K |
The Numbers
172.198KImpressions198Tweets
15Participants
158Avg Tweets/Hour
13Avg 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