Now showing 1 - 7 of 7
  • Publication
    Altmetrics for large, multidisciplinary research groups: A case study of the Leibniz Association
    (University of Zadar, 2014-06-16)
    Peters, Isabella
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    Jobmann, Alexandra
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    Eppelin, Anita
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    ;
    Künne, Sylvia
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    Wollnik-Korn, Gabriele
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    Tanacković, Sanjica Faletar
    ;
    Bosančić, Boris
    This explorative case study uses ImpactStory and Webometric Analyst to download altmetric indicators for publications of institutes of the multidisciplinary Leibniz Association. The results of the altmetrics analysis show that the reference manager Mendeley is most heavily used across disciplines, that further social media platforms are preferred by different disciplines, and that altmetrics can complement traditional measures of research impact (e.g., citation counts) where data is sparse. We also aim at providing lessons learned of altmetrics studies which may assist others when faced with similar questions.
  • Publication
    Scientometrics 2.0 : Scientific Reputation and Networking
    ( 2014-10-31)
    This presentation gives an overview of a project focused on the relational dimension of impact measurement at the University of St.Gallen. We carry out a social network analysis of HSG researchers' on the academic social network site ResearchGate (N=302). We first present a descriptive analysis of the follower network and reveal high homophily, low density and skewed degree distributions. Individuals' network centrality on ResarchGate is then compared with other indicators of scientic impact, namely publication success (h-index), seniority, and the resonance of publications on academic platforms (Mendeley, citeulike) as well as platforms geared towards broader audiences (Twitter, Facebook, Wikipedia). Results indicate that network centrality is weakly but significantly correlated with publication success. The resonance of publications on academic platforms is strongly correlated with publication success, while mentions on non-academic platforms (Twitter, Facebook, Wikipedia) are rare but moderately correlated with publication success.
  • Publication
    Social Media in Science and Altmetrics : New Ways of Measuring Research Impact
    ( 2015-09-03)
    Social media are becoming more and more popular in scientific communication. Scientists use them for a range of purposes, from sharing publications, to blogging about their own or others' research, conference tweeting, interpersonal communication and online participation, for example via Q&As on academic social network sites like ResearchGate and academia.edu. Moreover, many social media platforms can be used for impact measurement via so-called altmetrics. Altmetrics capture and aggregate social media metrics such as (re)tweets, Facebook likes, Mendeley bookmarks and Wikipedia cites. They can challenge or at least complement bibliometric impact measures, like the Journal Impact Factor and the h-index, which have been criticized on various grounds. This presentation first summarizes recent studies on social media adoption in science. It then focuses on altmetrics and summarizes key findings in that domain. Finally, it gives a hands-on introduction to altmetrics by demonstrating two prominent services: Impactstory and Altmetric.com.
  • Publication
    Connected for Success? : How Network Centrality on ResearchGate Relates to Bibliometrics, Altmetrics and Webometrics
    Academic social network sites (SNS) are booming. A recent large-scale survey published in Nature indicates that almost 90 percent of researchers in science and engineering and more than 70 percent in the social sciences, arts and humanities are aware of ResearchGate - next to Academia.edu the largest academic SNS with more than 6 million users. However, only limited research has been carried out on academic SNS. Although a vivid community creates and implements alternative measures of scientific impact with social media data, little use has been made of the potential of academic SNS as a data source. Consequently, few studies employ person-based metrics that cover users' social capital in the form of structural indicators and network statistics (centrality, density, homophily, clustering). This contribution draws on extensive data from ResearchGate to address this issue and add a relational component to altmetrics research. It includes a follower/following network of 302 nodes on ResearchGate: the complete faculty of a Swiss public university who are members on this academic SNS as of early 2014. We describe the overall network with classical metrics of social network analysis and compute the centrality of each individual node. Results indicate low density, high institutional homophily, a skewed degree distribution and many isolates. We then compare the structural properties of individual nodes with other metrics of influence. To do so, the network data is complemented with detailed attribute data, such as department affiliation, gender and position within the university hierarchy. Moreover, we collect researchers' activity on ResearchGate, bibliometric information, webometrics and altmetrics, i.e., the prominence of their publications on general and specific social media platforms. We evaluate whether the relational aspect of influence in the form network centrality correlates with activity, bibliometric, webometric and almetrics indicators as well as personal attributes. Significant and intermediate correlations between activity and centrality are found, while the correlations between centrality and bibliometric as well as altmetrics are weaker but still significant. No significant correlations between webometrics (coverage of publications on general social media platforms, like Twitter and Facebook) and network centrality occur. The analysis suggests that network centrality is distinct but correlated with (bibliometric) output metrics and therefore worthy of inclusion in future altmetrics studies.