Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data

Hassan, Saeed‐Ul; Imran, Mubashir; Gillani, Uzair; Aljohani, Naif Radi; Bowman, Timothy D.; Didegah, Fereshteh

doi:10.1007/s11192-017-2512-x

Cited by 70 publications

(70 citation statements)

References 28 publications

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“…We plotted receiveroperating characteristic (ROC) curves to identify the association between individual mentionsof articles for each platform (Twitter, FB, Mendeley) and journal class (SMP or NSMP). Primarily, ROC-AUC procedure is used to test/ compare the performance of one or more classification algorithms, but we have utilized this mechanism to analyze the association strength of features and classes as this was found useful earlier (Hassan et al, 2017). The Logistic Regression model is used to classify the articles published in collected journals.…”

Section: Methodsologymentioning

confidence: 99%

Does presence of social media plugins in a journal website result in higher social media attention of its research publications?

2020

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Social media platforms have now emerged as an important medium for wider dissemination of research articles; with authors, readers and publishers creating different kinds of social media activity about the article. Some research studies have even shown that articles that get more social media attention may get higher visibility and citations. These factors are now persuading journal publishers to integrate social media plugins in their webpages to facilitate sharing and dissemination of articles in social media platforms. Many past studies have analyzed several factors (like journal impact factor, open access, collaboration etc.) that may impact social media attention of scholarly articles. However, there are no studies to analyze whether the presence of social media plugin in a journal could result in higher social media attention of articles published in the journal. This paper aims to bridge this gap in knowledge by analyzing a sufficiently large-sized sample of 99,749 articles from 100 different journals. Results obtained show that journals that have social media plugins integrated in their webpages get significantly higher social media mentions and shares for their articles as compared to journals that do not provide such plugins. Authors and readers visiting journal webpages appear to be a major contributor to social media activity around articles published in such journals. The results suggest that publishing houses should actively provide social media plugin integration in their journal webpages to increase social media visibility (altmetric impact) of their articles.

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Section: Methodsologymentioning

confidence: 99%

Does presence of social media plugins in a journal website result in higher social media attention of its research publications?

2020

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“…We selected Twitter as it is effective for spreading information and has been widely adopted by the research community; indeed, tweets exceed 91% of the total social media activities recorded by altmetrics. 13 By producing simpler expressions of research findings, we hoped to increase the chances of tweets diffusing beyond the immediate academic networks that form around a discipline. Likely neighbouring networks might include a more diverse range of interested actors from business, city/regional/national policymaking, cultural partners, the healthcare sector, international agencies, local community, media, national education and the general public.…”

Section: Opportunitymentioning

confidence: 99%

Open Access+ Service: reframing library support to take research outputs to non-academic audiences

Taylor

2020

Insights the UKSG Journal

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The University of Manchester Library has established a key role in facilitating scholarly discourse through its mediated open access (OA) services, but has little track record in intentionally taking OA research outputs to non-academic audiences. This article outlines recent exploratory steps the Library has taken to convince researchers to fully exploit this part of the scholarly communication chain. Driving developments within this service category is a belief that despite the recent rise in OA, the full public benefit of research outputs is often not being realized as many papers are written in inaccessibly technical language. Recognizing our unique position to help authors reach broader audiences with simpler expressions of their work, we have evolved our existing managed OA services to systematically share plain-English summaries of OA papers via Twitter. In parallel, we have taken steps to ensure that our commercial analytics tools work harder to identify and reach the networked communities that form around academic disciplines in the hope that these simpler expressions of research will be more likely to diffuse beyond these networks.

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“…Moreover, a large and growing body of literature has investigated different online activities. The research by Hassan et al, (2017) examined the online activity of scholarly publications, such as news sites, social media platforms, blogs, video sites, and reference management tools. The researchers pointed out that the social media activities, across disciplines, increase in the presence of Altmetric.com data in Scopus database, rapidly.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Interdisciplinary Relationships Among King Abdulaziz University Departments via ResearchGate: Network Analysis and Visualizations

Baaqeel¹,

Aloufi²,

Elyas³

2020

JMS

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Because all disciplines are connected, interdisciplinary studies are one of the most significant discussions in the education sector. It involves the merging of two or more academic disciplines into one activity. The aim of this research paper is to explore the relationship of interdisciplinary research and network among all departments at King Abdulaziz University (KAU) in ResearchGate (RG) by using the statistical network analysis of undirected social networks. In our academic network, the departments of the university represent the vertices and their academic relationships. We will detect the communities between the departments in RG network by using statistical analysis of the network for each community. Finally, we will compare the academic social network at KAU to some random graph models, and investigate some random graph characteristics, such as power-law, small-world, and scale-free models. In our research, we found that the Department of Chemistry has the highest degree for the academic social network at KAU in RG, and the highest eigenvector centrality as well. In terms of vertex centrality, the Department of Electrical and Computer Engineering has the highest value in closeness and betweenness centrality. Also, we found that the most two connected departments are the Department of Computer Science and Department of Physics through the edge weight equals 248. By using community detection, we found there are seven communities. We conclude that the degree distribution of the academic social network of KAU in RG is different from the degree distribution of random graph models, but it is slightly close to small world model. This study , in turn, can participate to achieve one of the goals of Vision 2030 by shedding some light into how to improve research networks in the education sector and research among Saudi universities.

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Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data

Cited by 70 publications

References 28 publications

Does presence of social media plugins in a journal website result in higher social media attention of its research publications?

Does presence of social media plugins in a journal website result in higher social media attention of its research publications?

Open Access+ Service: reframing library support to take research outputs to non-academic audiences

Exploring Interdisciplinary Relationships Among King Abdulaziz University Departments via ResearchGate: Network Analysis and Visualizations

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