About this document

This document was produced by Emily J. Rollinson (ejrollinson on Twitter).

The code generating this document was originally developed by Francois Michonneau (fmic_ on Twitter) for the 2015 Evolution meeting and can be found here.

It has since been adapted for ICCB-ECCB 2015 by Joona Lehtomaki (jlehtoma on Twitter).

Thanks also to Emily Sessa (ebsessa on Twitter) for reproducing this code for the 2015 Botany meeting, bringing it to my attention.

I originally adapted this code for the 2015 Ecological Society of America meeting (#ESA100) in Baltimore, MD, and have since reproduced it for subsequent ESA and Botany meetings.

Tweets using the hashtag #ESASciComm were aggregated from Twitter using the R package twitteR and the Twitter API. The aggregated tweets are available on Figshare.

This document was generated using RMarkdown, and the source is available on GitHub.

This document (and associated code) is released under a CC0 licence.

Basic summary

Of the 189 tweets tagged #ESASciComm as of 12:30 PM EST 8/13/2017:

Description n
Total of original tweets (no retweets): 96
Number of users who tweeted: 57

The 5 most favorited tweets

The 5 most retweeted tweets

Top tweeters

All generated tweets (including retweets)

Only for original tweets (retweets excluded)

Most favorited/retweeted users

The figures below only include users who tweeted 5+ times, and don’t include retweets.

Number of favorites received by users

Number of retweets received by users

Mean numbers of favorites received

Mean numbers of retweets received

Word cloud

The top 100 words among the original tweets (excludes RTs, hashtags, mentions, URLs, and “the’,”&“, etc.).

CC0
To the extent possible under law, Emily J. Rollinson has waived all copyright and related or neighboring rights to Summary of SciComm tweets at ESA 2017. This work is published from: United States.