It's time for the 1st annual #tweeprint census! 
Since June of this year, I've been collecting as many neuroscience and neuro-related tweeprints on @tweeprint as I could find. I just analyzed all 251 of them, and wanted to share what I found. (1/n)
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Of course, the more followers you have, the more attention your tweeprint will get. Of users with the 10 most-liked tweeprints, the median number of followers was 7k. (All but two of those users were PIs!) Of all 251 tweeprints, the median was 0.13 likes per follower. (6/n)pic.twitter.com/hRzFK6Xmtw
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The top 3 most-liked tweeprints from 2019: 1. Weight Agnostic NNs
@hardmaru https://twitter.com/i/web/status/1138600152048910336 … 2. High precision coding in mouse V1@computingnature https://twitter.com/i/web/status/1142510839087423489 … 3. Cortical Neuron as a Deep Artificial Neural Net@DavidBeniaguev https://twitter.com/i/web/status/1131890349578829825 … (7/n)Prikaži ovu nit -
Finally, if you're interested, the (slightly incomplete) list of tweeprints I've collected is here: https://docs.google.com/spreadsheets/d/1B9v9R9w4eaQhjaQI2G-IwaoVvuruEfz1fK7j8TMwYDc/edit?usp=sharing … Also, please let me know if I have missed your tweeprint! (n/n)
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Love seeing this data. Is it at all possible for you to do further breakdown beyond # followers? Would be really curious to know if this differs at all by tweeter's gender, institution "prestige", etc.
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Yeah good question! I think I could get at least some of that info easily from the twitter bio.
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