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Communities of attention
around journal papers
Who is tweeting about scientific
publications?
Stefanie Haustein, Timothy D. Bowman & Rodrigo Costas
@stefhaustein @timothydbowman @RodrigoCostas1
Outline
• Introduction
Bibliometrics and altmetrics
• Background
Twitter in scholarly communication
• Research Questions and Objectives
• Methods
• Preliminary Results
• Outlook
Introduction: altmetrics
• alternative use and visibility of publications
on social media:
more traditional forms of use:
• alternative forms of research output
“study and use of scholarly impact measures based on activity in
online tools and environments”
“a good idea but a bad name”
…
…
…
Priem (2014, p. 266)
Rousseau & Ye (2013, p. 3289)
Introduction: bibliometrics
Introduction: altmetrics
Background
• social media activity around scholarly articles grows
5% to 10% per month
• Mendeley and Twitter largest sources for mentions of
scholarly documents
• Twitter
• used by ca. 10% of researchers in a professional context
• 22% of Web of Science journal papers published in 2012
• number of tweets per paper highly skewed
• low correlations with citations
• popularity of humorous and curious topics
• automated diffusion of scientific papers on Twitter
Adie & Roe (2013)
Costas, Zahedi & Wouters (2015)
Haustein, Costas & Larivière (2015)
Haustein, Costas & Larivière (2015)
Rowlands, Nicholas, Russell, Canty, & Watkinson (2011)
Research questions and objectives
• What information about tweeting behavior can be
used to distinguish different kinds of Twitter impact of
journal articles?
• Who is diffusing scientific journal articles on Twitter?
• What user groups can be distinguished:
• regarding engagement with papers and
• potential reach and audiences of users?
• How does the tweeting behavior of these user groups
differ?
Research questions and objectives
• distinguishing between:
exposure = number of followers
engagement = dissimilarity between tweet and paper title
Methods
• 660,149 original tweets
• 237,222 tweeted documents
• 125,083 unique users
• number of tweets to 2012 papers
• mean tweets per day
• mean relative citation rate of tweeted papers
• mean engagement
• mean exposure
• mean number of followers
• mean number of following
• tweeted document coupling user network
Methods
exposure
engagement influencers /
brokers
orators /
discussing
disseminators /
mumblers
broadcasters
Preliminary results
mean tweets to papers
tp = 5.3
exposure
engagement
tp = 3.2tp = 1.7
tp = 11.5tp = 4.4
Preliminary results
mean tweets per day
tpd = 5.9
exposure
engagement
tpd = 10.1tpd = 1.8
tpd = 9.4tpd = 1.7
Preliminary results
mean relative citation rate
mncs = 2.3
exposure
engagement
mncs = 2.4mncs = 2.5
mncs = 2.1mncs = 2.2
Preliminary results
9 57
130 512
708 of 125,083 users (0.6%) tweeting
WoS papers published in 2012 (>100)
Node size represents number of papers
Network of users tweeting the same papers
Preliminary results
708 of 125,083 users (0.6%) tweeting
WoS papers published in 2012 (>100)
Node size represents number of papers
Network of users tweeting the same papers
Preliminary results
Preliminary results
Preliminary results
Preliminary results
Outlook
• Systematic analysis of users in different groups
• Identifying particular differences in tweeting behavior
• Differentiating between various types of impacts of
journal articles on Twitter
• Investigating the motivation behind tweeting scientific
papers
 Improving scholarly metrics
Thank you
for your attention!
Stefanie Haustein, Timothy D. Bowman & Rodrigo Costas
@stefhaustein @timothydbowman @RodrigoCostas1
http://www.slideshare.net/StefanieHaustein

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Communities of attention' around journal papers: Who is tweeting about scientific publications?

  • 1. Communities of attention around journal papers Who is tweeting about scientific publications? Stefanie Haustein, Timothy D. Bowman & Rodrigo Costas @stefhaustein @timothydbowman @RodrigoCostas1
  • 2. Outline • Introduction Bibliometrics and altmetrics • Background Twitter in scholarly communication • Research Questions and Objectives • Methods • Preliminary Results • Outlook
  • 3. Introduction: altmetrics • alternative use and visibility of publications on social media: more traditional forms of use: • alternative forms of research output “study and use of scholarly impact measures based on activity in online tools and environments” “a good idea but a bad name” … … … Priem (2014, p. 266) Rousseau & Ye (2013, p. 3289)
  • 6. Background • social media activity around scholarly articles grows 5% to 10% per month • Mendeley and Twitter largest sources for mentions of scholarly documents • Twitter • used by ca. 10% of researchers in a professional context • 22% of Web of Science journal papers published in 2012 • number of tweets per paper highly skewed • low correlations with citations • popularity of humorous and curious topics • automated diffusion of scientific papers on Twitter Adie & Roe (2013) Costas, Zahedi & Wouters (2015) Haustein, Costas & Larivière (2015) Haustein, Costas & Larivière (2015) Rowlands, Nicholas, Russell, Canty, & Watkinson (2011)
  • 7. Research questions and objectives • What information about tweeting behavior can be used to distinguish different kinds of Twitter impact of journal articles? • Who is diffusing scientific journal articles on Twitter? • What user groups can be distinguished: • regarding engagement with papers and • potential reach and audiences of users? • How does the tweeting behavior of these user groups differ?
  • 8. Research questions and objectives • distinguishing between: exposure = number of followers engagement = dissimilarity between tweet and paper title
  • 9. Methods • 660,149 original tweets • 237,222 tweeted documents • 125,083 unique users • number of tweets to 2012 papers • mean tweets per day • mean relative citation rate of tweeted papers • mean engagement • mean exposure • mean number of followers • mean number of following • tweeted document coupling user network
  • 10. Methods exposure engagement influencers / brokers orators / discussing disseminators / mumblers broadcasters
  • 11. Preliminary results mean tweets to papers tp = 5.3 exposure engagement tp = 3.2tp = 1.7 tp = 11.5tp = 4.4
  • 12. Preliminary results mean tweets per day tpd = 5.9 exposure engagement tpd = 10.1tpd = 1.8 tpd = 9.4tpd = 1.7
  • 13. Preliminary results mean relative citation rate mncs = 2.3 exposure engagement mncs = 2.4mncs = 2.5 mncs = 2.1mncs = 2.2
  • 14. Preliminary results 9 57 130 512 708 of 125,083 users (0.6%) tweeting WoS papers published in 2012 (>100) Node size represents number of papers Network of users tweeting the same papers
  • 15. Preliminary results 708 of 125,083 users (0.6%) tweeting WoS papers published in 2012 (>100) Node size represents number of papers Network of users tweeting the same papers
  • 20. Outlook • Systematic analysis of users in different groups • Identifying particular differences in tweeting behavior • Differentiating between various types of impacts of journal articles on Twitter • Investigating the motivation behind tweeting scientific papers  Improving scholarly metrics
  • 21. Thank you for your attention! Stefanie Haustein, Timothy D. Bowman & Rodrigo Costas @stefhaustein @timothydbowman @RodrigoCostas1 http://www.slideshare.net/StefanieHaustein