The #medlibs Influencers
Top 10 Influential
![]() | @nikdett 100 |
![]() | @mehlibrarian 92 |
![]() | @tlknott 82 |
![]() | @krafty 76 |
![]() | @pfanderson 76 |
@BerrymanD 69 | |
![]() | @davidlrothman 64 |
![]() | @mascher 64 |
![]() | @evelevemelton 58 |
![]() | @TBrigham 57 |
Prolific Tweeters
![]() | @pfanderson 50 |
![]() | @mehlibrarian 49 |
![]() | @nikdett 36 |
![]() | @krafty 24 |
@BerrymanD 20 | |
![]() | @mascher 19 |
![]() | @tlknott 17 |
![]() | @davidlrothman 14 |
![]() | @7shores 12 |
![]() | @evelevemelton 9 |
Highest Impressions
![]() | @pfanderson 480.2K |
![]() | @nikdett 45.6K |
![]() | @krafty 32.3K |
![]() | @7shores 15.2K |
![]() | @mehlibrarian 14.6K |
![]() | @mascher 13.0K |
![]() | @davidlrothman 11.4K |
![]() | @rachel_w 9.4K |
![]() | @mandosally 6.5K |
![]() | @tlknott 6.0K |
The Numbers
643.432KImpressions300Tweets
20Participants
240Avg Tweets/Hour
15Avg 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