Empirical analyses of scientific papers and researchers on Twitter: Results of two studies
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Empirical analyses of scientific papers and researchers on Twitter: Results of two studies
Stefanie Haustein, Timothy D. Bowman, Kim Holmberg, Vincent Larivière, Isabella Peters, Cassidy R. Sugimoto, & Mike Thelwall
Background • when Garfield created SCI, sociologists of science
analyzed meaning of publications and citations (Merton, Zuckerman, Cole & Cole, etc.)
• sociological research • What is it to publish a paper? • What are the reasons to cite?
• empirical bibliometric research • disciplinary differences in publication
and citation behavior • delay and obsolescence patterns
Background • empirical studies helped sociologists to understand
structure and norms of science • for bibliometricians, studies provided a theoretical
framework and legitimation to use citation analysis in research evaluation
• knowledge about disciplinary differences and obsolescence patterns helped to normalize statistics and create more appropriate indicators
Background • recently social-media metrics have become
important in the scholarly world • suggestions to complement (or even replace)
citation analysis by so-called ”altmetrics“ • broader audience (not just citing authors) • more timely
• however, similar to bibliometrics in the 1960s, little is known about the actual meaning of various social-media counts
Research questions • What is the relationship between social-media and
citation counts? • How do various social-media metrics differ? • Why are papers tweeted, bookmarked, liked…? • Who tweets (bookmarks, likes…) scientific papers? • How do these aspects differ across scientific disciplines?
Two case studies on Twitter • large-scale analysis of tweets of biomedical papers • in-depth analysis of astrophysicists on Twitter
Aim of the study • large-scale analysis of tweets of biomedical papers
• Twitter coverage • Twitter citation rates (tweets per paper) • correlation with citations
• discovering differences between: • documents • journals • disciplines & specialties
! providing empirical framework to understand the extent to which biomedical journal articles are tweeted
Study I: Tweeting biomedicine
Haustein, S., Peters, I., Sugimoto, C.R., Thelwall, M., & Larivière, V. (in press). Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. Journal of the American Society for Information Science and Technology, http://arxiv.org/abs/1308.1838.
Data sets & methods • 1.4 million PubMed papers covered by WoS
• publication years: 2010-2012 • document types: articles & reviews • matching of WoS and PubMed
• tweet counts collected by Altmetric.com • collection based on PMID, DOI, URL • matching WoS via PMID
• journal-based matching of NSF classification • tweets per article, Twitter coverage and correlation
with citations for: • journals • NSF disciplines and specialties
Study I: Tweeting biomedicine
Data sets & methods: framework
Study I: Tweeting biomedicine
Data sets & methods: correlations
Study I: Tweeting biomedicine
PY=2010 PY=2011 PY=2012
Results: documents Study I: Tweeting biomedicine
Publication year
Twitter coverage
Papers (T≥1)
Spearman's ρ Mean Median Maximum
T2010 2.4% 13,763 .104** 2.1 1 237 C2010 18.3 7 3,922
T2011 10.9% 63,801 .183** 2.8 1 963 C2011 5.7 2 2,300
T2012 20.4% 57,365 .110** 2.3 1 477 C2012 1.3 0 234
T2010-2012 9.4% 134,929 .114** 2.5 1 963 C2010-2012 5.1 1 3,922
• Twitter coverage is quite low but increasing • correlation between tweets and citations is very low
Results: documents Study I: Tweeting biomedicine
Article Journal C T
Hess et al. (2011). Gain of chromosome band 7q11 in papillary thyroid carcinomas of young patients is associated with exposure to low-dose irradiation PNAS 9 963
Yasunari et al. (2011). Cesium-137 deposition and contamination of Japanese soils due to the Fukushima nuclear accident PNAS 30 639
Sparrow et al. (2011). Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips Science 11 558
Onuma et al. (2011). Rebirth of a Dead Belousov–Zhabotinsky Oscillator Journal of Physical Chemistry A -- 549
Silverberg (2012). Whey protein precipitating moderate to severe acne flares in 5 teenaged athletes Cutis -- 477
Wen et al. (2011). Minimum amount of physical activity for reduced mortality and extended life expectancy: a prospective cohort study Lancet 51 419
Kramer (2011). Penile Fracture Seems More Likely During Sex Under Stressful Situations Journal of Sexual Medicine -- 392
Newman & Feldman (2011). Copyright and Open Access at the Bedside New England Journal of Medicine 3 332
Reaves et al. (2012). Absence of Detectable Arsenate in DNA from Arsenate-Grown GFAJ-1 Cells Science 5 323
Bravo et al. (2011). Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve PNAS 31 297
Top 10 tweeted documents: catastrophe & topical / web & social media / curious story scientific discovery / health implication / scholarly community
Results: journals • 97.7% of 3,812
journals at least tweeted once
• two-thirds of journals have coverage below 20% and Twitter citation rate < 2.0
• high Twitter citation rates often caused by few papers
• high coverage and Twitter citation rates for general journals
Study I: Tweeting biomedicine
Results: disciplines Study I: Tweeting biomedicine
Results: specialties Study I: Tweeting biomedicine
• specialties differ in terms of coverage, Twitter citation rate and correlations with citations
• 47 of 61 specialties show low positive, 3 negative and 13 no correlation
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Aim of the study • in-depth analysis of astrophysicists on Twitter
• number of tweets, followers, retweets • characteristics of tweets: RTs, @messages,
#hashtags, URLs • comparison with scientific output
• publications • citations
• comparison of tweet and publication content ! provide evidence in how far astrophysicists on Twitter
use Twitter for scholarly communiation
Study II: Astrophysicists on Twitter
Haustein, S., Bowman, T.D., Holmberg, K., Larivière, V., & Peters, I., (submitted). Astrophysicists on Twitter: An in-depth analysis of tweeting and scientific publication behavior. Aslib Proceedings.
Data sets & methods • 37 astrophysicists on Twitter identified by
Holmberg & Thelwall (2013) • web searches to identify person behind account • publications in WoS journals
• publication years: 2008-2012 • author disambiguation
• Twitter account information • 68,232 of 289,368 tweets downloaded and analyzed:
• number of RTs per tweet • % of tweets that are RTs • % of tweets containing #hashtags, @usernames, URLs
Study II: Astrophysicists on Twitter
Holmberg, K., & Thelwall, M. (2013). Disciplinary differences in Twitter scholarly communication. In: Proceedings of ISSI 2013 – 14th International Conference of the International Society for Scientometrics and Informetrics, Vienna, Austria (Vol. 1, pp. 567-582).
Data sets & methods • grouping astrophysicists according to tweeting and
publication behavior • analyzing differences of tweeting characteristics
between user groups
Study II: Astrophysicists on Twitter
Selected astrophysicists (N=37)!
tweet rarely (0.0-0.1 tweets per day)!
tweet occasionally (0.1-0.9)!
tweet regularly (1.2-2.9)!
tweet frequently (3.7-58.2)!
total (publishing activity)!
do not publish (0 publications 2008-2012)! --! --! 1! 5! 6!publish occasionally (1-9)! 4! 3! 4! 2! 13!publish regularly (14-37)! --! 5! 5! 3! 13!publish frequently (46-112)! 1! 3! 1! --! 5!total (tweeting activity)! 5! 11! 11! 10! 37!
Data sets & methods • comparison of tweet and publication content
• extraction of noun phrases from tweets and abstracts • limited to 18 most frequently publishing astrophysicists
to ensure certain number of abstracts • analyzing overlap of character strings • calculating similarity with cosine per person and overall
Study II: Astrophysicists on Twitter
Selected astrophysicists (N=37)!
tweet rarely (0.0-0.1 tweets per day)!
tweet occasionally (0.1-0.9)!
tweet regularly (1.2-2.9)!
tweet frequently (3.7-58.2)!
total (publishing activity)!
publish regularly (14-37)! --! 5! 5! 3! 13!publish frequently (46-112)! 1! 3! 1! --! 5!total (tweeting activity)! 1! 8! 6! 3! 18!
Results: correlations • comparison of Twitter and publication activity and impact
• publications and tweets per day: ρ=−0.339* • citation rate and tweets per day: ρ=−0.457** • citation rate and RT rate: ρ=0.077
Study II: Astrophysicists on Twitter
Results: characteristics Study II: Astrophysicists on Twitter
Mean share of tweets containing at least one user name or URL per person per group
Results: content similarity Study II: Astrophysicists on Twitter
• overall similarity between abstracts and tweets is low • cosine=0.081 • 4.1% of 50,854 tweet NPs in abstracts • 16.0% of 12,970 abstract NPs in tweets
• Twitter coverage among most frequent abstract terms is high, although this differs between users • 97,1% of 104 most frequent noun phrases on Twitter
Conclusions • Twitter coverage of biomedical papers is low but increasing • number of tweets per paper varies between journals,
disciplines, specialties and from year to year ! tweet counts need to be normalized accordingly
• correlations between tweet and citation counts are low (biomedical papers) or even moderately negative (astrophysicists) ! tweets cannot replace citations as measures of
scientific impact ! challenge is to differentiate between high tweet counts
because of value (to scientists and/or the general public) and curiosity
Outlook • user surveys and qualitative research to investigate who is
using scholarly content on social media and why • empirical large-scale studies on other metrics
Haustein, S., Peters, I., Sugimoto, C.R., Thelwall, M., & Larivière, V. (in press). Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. Journal of the American Society for Information Science and Technology.
Haustein, S., Bowman, T.D., Holmberg, K., Larivière, V., & Peters, I., (submitted). Astrophysicists on Twitter: An in-depth analysis of tweeting and scientific publication behavior. Aslib Proceedings.
Stefanie Haustein
Thank you for your attention! Questions?
[email protected] @stefhaustein