The #medlibs Influencers
Top 10 Influential
![]() | @TonyN411 100 |
![]() | @mehlibrarian 98 |
![]() | @nikdett 96 |
![]() | @aldricham 96 |
![]() | @tlknott 94 |
![]() | @pfanderson 77 |
![]() | @mascher 75 |
![]() | @krafty 75 |
![]() | @cdennison 40 |
![]() | @PubMedHealth 40 |
Prolific Tweeters
![]() | @nikdett 47 |
![]() | @pfanderson 37 |
![]() | @tlknott 24 |
![]() | @mehlibrarian 22 |
![]() | @krafty 16 |
![]() | @mascher 15 |
@mscully66 15 | |
![]() | @TonyN411 13 |
![]() | @7shores 7 |
![]() | @cdennison84 3 |
Highest Impressions
![]() | @pfanderson 355.3K |
![]() | @nikdett 59.6K |
![]() | @stuartrjackson1 23.1K |
![]() | @krafty 21.6K |
![]() | @mascher 10.2K |
![]() | @7shores 8.9K |
![]() | @tlknott 8.4K |
![]() | @mehlibrarian 6.5K |
![]() | @TonyN411 4.5K |
@mscully66 1.4K |
The Numbers
500.185KImpressions202Tweets
13Participants
162Avg Tweets/Hour
16Avg 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