How and why scholars cite on Twitter

Priem, Jason; Costello, Kaitlin Light

doi:10.1002/meet.14504701201

Cited by 220 publications

(210 citation statements)

References 6 publications

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“…The more immediate access to credible research is certainly challenging the more traditional structures of dissemination; social media can therefore provide a vehicle for fast discovery of research for larger, more diverse audiences (Mollett et al, 2011;Jackson et al 2015;McKenna, 2015). Priem and Costello (2010) investigated scholars' attitudes and practices in relation to using Twitter™ to share citations. It was found that Twitter™ citations are uniquely conversational, yet viewed as a legitimate conduit.…”

Section: Can Twitter™ Help Researchers To Generate Impact?mentioning

confidence: 99%

Using Twitter™ to drive research impact: A discussion of strategies, opportunities and challenges

Schnitzler

Davies

Ross

et al. 2016

International Journal of Nursing Studies

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Section: Can Twitter™ Help Researchers To Generate Impact?mentioning

confidence: 99%

Using Twitter™ to drive research impact: A discussion of strategies, opportunities and challenges

Schnitzler

Davies

Ross

et al. 2016

International Journal of Nursing Studies

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“…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%

Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research

Mas-Bleda

2016

Scientometrics

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This study compares Spanish and UK research in eight subject fields using a range of bibliometric and social media indicators. For each field, lists of Spanish and UK journal articles published in the year 2012 and their citation counts were extracted from Scopus. The software Webometric Analyst was then used to extract a range of altmetrics for these articles, including patent citations, online presentation mentions, online course syllabus mentions, Wikipedia mentions and Mendeley reader counts and Altmetric.com was used to extract Twitter mentions. Results show that Mendeley is the altmetric source with the highest coverage, with 80% of sampled articles having one or more Mendeley readers, followed by Twitter (34%). The coverage of the remaining sources was lower than 3%. All of the indicators checked either have too little data or increase the overall difference between Spain and the UK and so none can be suggested as alternatives to reduce the bias against Spain in traditional citation indexes.

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“…Consequently, Twitter usage during academic conferences is the focal point of several analyses (Ebner, 2009;Letierce et al, 2010;Weller et al, 2011;Wen et al, 2014). Others analysed links to scholarly articles within tweets as a form of citation and new approaches to impact assessment (Priem and Costello, 2010;Eysenbach, 2011;Weller et al, 2011). One challenge common to these approaches is the identification of scholarly content on Twitter.…”

Section: Twitter Usage By Researchersmentioning

confidence: 99%

“…Social media, such as blogs, video and presentation sharing platforms, microblogging, and social networking sites, are increasingly being used by scientists. These new media facilitate more diverse and flexible forms of communication, community development, and networking than traditional outlets (Desai et al, 2012;Eysenbach, 2011;Priem and Costello, 2010;Shema et al, 2012). Since social media are frequently public (e.g., blogs or Twitter), they also render scholarly communication more accessible to diverse audiences (Mauranen, 2013;Mortensen and Walker, 2002).…”

Section: Introductionmentioning

confidence: 99%

It’s All About Information? The Following Behaviour of Professors and PhD Students in Computer Science on Twitter

Linek

Hadgu

Hoffmann

et al. 2017

JWS

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Article available under the terms of the CC BY-NC-ND 2.0 licence (https://creativecommons.org/licenses/by-nc-nd/2.0/) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. ABSTRACTIn this paper we investigate the role of the academic status in the following behaviour of computer scientists on Twitter. Based on a uses and gratifications perspective, we focus on the activity of a Twitter account and the reciprocity of following relationships. We propose that the account activity addresses the users' information motive only, whereas the user's academic status relates to both the information motive and community development (as in peer networking or career planning).Variables were extracted from Twitter user data. We applied a biographical approach to correctly identify the academic status (professor versus PhD student). We calculated a 2 × 2 MANOVA on the influence of the activity of the account and the academic status (on different groups of followers) to differentiate the influence of the information motive versus the motive for community development.Results suggest that for computer scientists Twitter is mainly an information network. However, we found significant effects in the sense of career planning, that is, the accounts of professors had even in the case of low activity a relatively high number of researcher followers -both PhD followers as well as professor followers. Additionally, there was also some weak evidence for community development gratifications in the sense of peer-networking of professors.Overall, we conclude that the academic use of Twitter is not only about information, but also about career planning and networking.

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How and why scholars cite on Twitter

Cited by 220 publications

References 6 publications

Using Twitter™ to drive research impact: A discussion of strategies, opportunities and challenges

Using Twitter™ to drive research impact: A discussion of strategies, opportunities and challenges

Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research

It’s All About Information? The Following Behaviour of Professors and PhD Students in Computer Science on Twitter

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