The #ukmedlibs Influencers
Top 10 Influential
 | @alisonday3 100 |
 | @UKMedLibs 89 |
 | @samanthaclare 83 |
 | @thompson241 79 |
 | @CILIPinfo 77 |
 | @Librarianpocket 75 |
 | @CILIPHLG 71 |
 | @emilylovedhim 65 |
 | @hammerslibrary 58 |
 | @misshelved 58 |
Prolific Tweeters
| @CILIPHLG 253 |
 | @imrana_g 241 |
| @alisonday3 60 |
 | @NickPoole1 47 |
| @samanthaclare 46 |
 | @janetsampson33 43 |
 | @shelbycat 23 |
| @UKMedLibs 22 |
| @hammerslibrary 17 |
| @emilylovedhim 16 |
Highest Impressions
| @NickPoole1 408.6K |
| @CILIPHLG 271.4K |
| @imrana_g 152.9K |
| @samanthaclare 32.4K |
 | @tomroper 26.0K |
 | @RuthCarlyle 23.4K |
| @alisonday3 23.1K |
| @shelbycat 15.9K |
| @UKMedLibs 15.7K |
| @Librarianpocket 11.8K |
The Numbers
1.044MImpressions890Tweets
37Participants
712Avg Tweets/Hour
24Avg Tweets/Participant
Twitter data from the #ukmedlibs hashtag from to () – Symplur.
Top 10 Influencers is determined by the SymplurRank algorithm.
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#ukmedlibs Participants
Data for #ukmedlibs can be up to 15 minutes delayed
10,000 Tweets
Symplur has over 10,000 #ukmedlibs tweets going back to April 2015.
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