2014
DOI: 10.1007/s11192-014-1229-3
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Disciplinary differences in Twitter scholarly communication

Abstract: This paper investigates disciplinary differences in how researchers use the microblogging site Twitter. Tweets from researchers in five disciplines (astrophysics, biochemistry, digital humanities, economics, and history of science) were collected and analyzed both statistically and qualitatively. The results suggest that researchers tend to share more links and retweet more than the average Twitter users in earlier research. The results also suggest that there are clear disciplinary differences in how research… Show more

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Cited by 249 publications
(223 citation statements)
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References 24 publications
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“…It has social networking features, letting users connect with each other (Java et al 2007). Scholars seem to use this platform for sharing scientific information as well as to network with peers (Letierce et al 2010;Veletsianos 2012), although there are disciplinary differences (Holmberg and Thelwall 2014). Scholars also use Twitter to cite academic publications (Priem and Costello 2010;Tsou et al 2015;Weller et al 2011), sometimes reflecting intellectual impact, and there is some evidence that Twitter mentions may be an early predictor of traditional citations (Shuai et al 2012).…”
Section: Twitter Mentionsmentioning
confidence: 99%
“…It has social networking features, letting users connect with each other (Java et al 2007). Scholars seem to use this platform for sharing scientific information as well as to network with peers (Letierce et al 2010;Veletsianos 2012), although there are disciplinary differences (Holmberg and Thelwall 2014). Scholars also use Twitter to cite academic publications (Priem and Costello 2010;Tsou et al 2015;Weller et al 2011), sometimes reflecting intellectual impact, and there is some evidence that Twitter mentions may be an early predictor of traditional citations (Shuai et al 2012).…”
Section: Twitter Mentionsmentioning
confidence: 99%
“…1 In academic circles, the term is often associated with backchannel chatter (Holmberg and Thelwall 2014), grey literature (Huggett 2012), and informal workshops and conferences (French 2015). DH has too many definitions to be welldefined (Terras, Nyhan, and Vanhoutte 2013), but its influence is great enough to warrant an exploration of how it appears to newcomers, to scholars, and to the world.…”
Section: Introductionmentioning
confidence: 99%
“…However, Hammarfelt (2016: 115) observes a shift from investigating coverage issues towards studying the characteristics of SSH publication practices and developing bibliometric approaches sensitive to the organization of SSH research fields. This includes, but is not limited to, extending bibliometric analyses to non-source items (Butler and Visser, 2006;Chi, 2014) or the relatively new Book Citation Index (Gorraiz et al, 2013), using other databases like Google Scholar (Kousha and Thelwall, 2009) or data from social media services, the so-called altmetrics (Holmberg and Thelwall, 2014;Mohammadi and Thelwall, 2014;Zuccala et al, 2015;Zuccala and Cornacchia, 2016), analysing the inclusion in library catalogues (White et al, 2009), exploring national databases with full coverage , extending data to references in research grant proposals (Hammarfelt, 2013) or to book reviews (Zuccala and van Leeuwen, 2011;Zuccala et al, 2015), exploring collaboration (Ossenblok and Engels, 2015) and publication patterns (Chi, 2012;Ossenblok et al, 2012;Verleysen and Weeren, 2016). From a more pragmatic point of view, attempts are made to "weigh" the various outputs, such as journals or books in the SSH, similar to the journal impact factor, commonly used in the sciences (Giménez-Toledo, 2016).…”
Section: Improving the Databasesmentioning
confidence: 99%