The #medlibs Influencers
Top 10 Influential
 | @mascher 100 |
 | @krafty 84 |
 | @pfanderson 70 |
 | @hurstej 69 |
 | @kristiholmes 69 |
 | @nikdett 68 |
 | @pat_devine 67 |
 | @giustini 55 |
 | @quasifesto 52 |
 | @dmkafel 52 |
Prolific Tweeters
| @pfanderson 49 |
 | @mandosally 46 |
| @mascher 25 |
| @kristiholmes 21 |
| @nikdett 20 |
| @hurstej 19 |
| @quasifesto 16 |
| @dmkafel 15 |
| @krafty 15 |
 | @oddtinfo 14 |
Highest Impressions
| @pfanderson 470.5K |
| @mandosally 49.6K |
| @nikdett 25.4K |
| @hurstej 23.9K |
| @kristiholmes 22.7K |
| @krafty 20.2K |
| @mascher 17.1K |
| @giustini 15.7K |
 | @lukelibrarian 11.4K |
 | @7shores 6.3K |
The Numbers
689.664KImpressions301Tweets
24Participants
241Avg Tweets/Hour
13Avg Tweets/Participant
Twitter data from the #medlibs hashtag from to () – Symplur.
Top 10 Influencers is determined by the SymplurRank algorithm.
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#medlibs Participants
Data for #medlibs can be up to 15 minutes delayed
100,000 Tweets
Symplur has over 100,000 #medlibs tweets going back to May 2012.
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