The #medlibs Influencers
Top 10 Influential
![]() | @pfanderson 100 |
![]() | @blevinsa 89 |
@s_schulte 80 | |
![]() | @LaMedBoheme73 78 |
![]() | @mascher 77 |
![]() | @CarolinaFan1982 77 |
![]() | @nikdett 77 |
![]() | @krafty 76 |
![]() | @mehlibrarian 72 |
@susanders 44 |
Prolific Tweeters
![]() | @pfanderson 77 |
![]() | @CarolinaFan1982 41 |
![]() | @blevinsa 36 |
![]() | @krafty 31 |
@s_schulte 25 | |
![]() | @mehlibrarian 18 |
![]() | @nikdett 17 |
![]() | @BAGebb 14 |
@susanders 12 | |
![]() | @LaMedBoheme73 11 |
Highest Impressions
![]() | @pfanderson 833.4K |
![]() | @krafty 69.8K |
![]() | @CarolinaFan1982 43.1K |
![]() | @ePatientDave 35.8K |
![]() | @blevinsa 27.6K |
![]() | @nikdett 24.5K |
![]() | @mehlibrarian 20.8K |
![]() | @7shores 10.0K |
![]() | @LaMedBoheme73 8.2K |
![]() | @mascher 7.8K |
The Numbers
58.145KImpressions322Tweets
19Participants
258Avg 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