2018
DOI: 10.1007/s11192-018-2880-x
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Who, what, why? An exploration of JoVE scientific video publications in tweets

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Cited by 9 publications
(7 citation statements)
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References 16 publications
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“…Regarding the sentiment of tweet texts, scholarly tweets were found to be generally neutral, with limited share showing positive or negative sentiment expressed by users (Friedrich et al, 2015;Thelwall et al, 2013). Besides, the use of some tweet features in scholarly tweets, such as hashtags (word or phrase prefixed with #) and user mentions (user's handle name prefixed with @), was also of interest by some altmetric research (Haustein et al, 2014a;Xu et al, 2018), because it represents a particular form of user interactions enhancing the description and visibility of tweets and facilitating connections amongst users (Haustein, 2019;.…”
Section: Scholarly Tweets As the Objects Of Studymentioning
confidence: 99%
“…Regarding the sentiment of tweet texts, scholarly tweets were found to be generally neutral, with limited share showing positive or negative sentiment expressed by users (Friedrich et al, 2015;Thelwall et al, 2013). Besides, the use of some tweet features in scholarly tweets, such as hashtags (word or phrase prefixed with #) and user mentions (user's handle name prefixed with @), was also of interest by some altmetric research (Haustein et al, 2014a;Xu et al, 2018), because it represents a particular form of user interactions enhancing the description and visibility of tweets and facilitating connections amongst users (Haustein, 2019;.…”
Section: Scholarly Tweets As the Objects Of Studymentioning
confidence: 99%
“…Online videos are a new method of academic communication (Xu et al 2018). Thelwall et al (2012) performed a content analysis of YouTube videos tweeted by academics.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For instance, the "cat" may frequently co-occur with "laboratory," which indicates the "cat" is the research object of researchers, not similar literal meaning between the two terms. 3 A considerable number of tweets of scientific publications are posted by Twitter bots, which challenges the use of raw tweet counts a performance indicator (Haustein et al, 2016;Robinson-Garcia et al, 2017;Xu, 2018). However, as will be shown in the following, our analysis still yields interesting information about external tweeting audiences and their behavior.…”
Section: Discussionmentioning
confidence: 95%
“… A considerable number of tweets of scientific publications are posted by Twitter bots, which challenges the use of raw tweet counts a performance indicator (Haustein et al, 2016; Robinson‐Garcia et al, 2017; Xu, 2018). However, as will be shown in the following, our analysis still yields interesting information about external tweeting audiences and their behavior. …”
mentioning
confidence: 99%