Metricating #respbib18 and #ResponsibleMetrics: A Comparison

Summaries of Twitter numerical data captured from archiving #respbib18 (Responsible use of Bibliometrics in Practice, London, 31 January 2018) and #ResponsibleMetrics (The turning tide: A new culture of responsible metrics for research, London, 8 February 2018).<br><br>No sensitive, personal nor personally-identifiable data is contained in this dataset. Usernames and names of individuals were removed from text analysis results. <br><br>Text analysis performed with Voyant Tools. <br><br>Categories included:<br><br> table { }tr { }col { }br { }td { padding-top: 1px; padding-right: 1px; padding-left: 1px; color: black; font-size: 12pt; font-weight: 400; font-style: normal; text-decoration: none; font-family: Calibri, sans-serif; vertical-align: bottom; border: medium none; white-space: nowrap; } Event title Date Times URL Sheet ID Hashtag Number of links Number of RTs Number of Tweets Number of Unique tweets First Tweet in Archive Last Tweet in Archive Number of In Reply Ids Number of In Reply @s Number of Usernames<br>Number of Unique Usernames who used tag only once<br>30 Most Frequent Terms in each archive<br>Raw Frequencies<br>Relative Frequencies<br>Distributions <br><br>Stop words were applied, including usernames. <br><br><br>