400 research outputs found

    A study of global and local visibility as web indicators of research production

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    The concept of webpage visibility is usually linked to search engine optimization, and it is based on global in-link metric, that is, the number of received links from other websites, but without considering the sources of these links. The purpose of this article is to demonstrate that this global idea of visibility is only weakly correlated with web metrics measured over a network of related institutions or organizations (local visibility) and research production. As a case study, global and local visibility measurements have been obtained for a set of Spanish Universities, and they have been correlated with results provided by international rankings like the Webometrics Ranking of World’s Universities and the Academic Ranking of World Universities by Shanghai Jiao Tung University. Obtained results suggest that the development of web indicators to be included as part of Universities evaluation programs should consider a local idea of visibility, considering a certain geographical context or similar related institution

    Are link-based and citation-based journal metrics correlated? An Open Access megapublisher case study

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    [EN] The current value of link counts as supplementary measures of the formal quality and impact of journals is analyzed, considering an open access megapublisher (MDPI) as a case study. We analyzed 352 journals through 21 citation-based and link-based journal-level indicators, using Scopus (523,935 publications) and Majestic (567,900 links) as data sources. Given the statistically significant strong positive Spearman correlations achieved, it is concluded that link-based indicators mainly reflect the quality (indexed in Scopus), size (publication output), and impact (citations received) of MDPI's journals. In addition, link data are significantly greater for those MDPI journals covering many subjects (generalist journals). However, nonstatistically significant differences are found between subject categories, which can be partially attributed to the "series title profile" effect of MDPI. Further research is necessary to test whether link-based indicators can be used as informative measures of journals' current research impact beyond the specific characteristics of MDPI.This research has been funded by the Valencian Regional Government (Spain), through the research project UNIVERSEO (Ref. GV/2021/141)Orduña-Malea, E.; Aguillo, IF. (2022). Are link-based and citation-based journal metrics correlated? An Open Access megapublisher case study. Quantitative Science Studies. 3(3):793-814. https://doi.org/10.1162/qss_a_001997938143

    A value creation model from science-society interconnections: Archetypal analysis combining publications, survey and altmetric data

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    The interplay between science and society takes place through a wide range of intertwined relationships and mutual influences that shape each other and facilitate continuous knowledge flows. Stylised consequentialist perspectives on valuable knowledge moving from public science to society in linear and recursive pathways, whilst informative, cannot fully capture the broad spectrum of value creation possibilities. As an alternative we experiment with an approach that gathers together diverse science-society interconnections and reciprocal research-related knowledge processes that can generate valorisation. Our approach to value creation attempts to incorporate multiple facets, directions and dynamics in which constellations of scientific and societal actors generate value from research. The paper develops a conceptual model based on a set of nine value components derived from four key research-related knowledge processes: production, translation, communication, and utilization. The paper conducts an exploratory empirical study to investigate whether a set of archetypes can be discerned among these components that structure science-society interconnections. We explore how such archetypes vary between major scientific fields. Each archetype is overlaid on a research topic map, with our results showing the distinctive topic areas that correspond to different archetypes. The paper finishes by discussing the significance and limitations of our results and the potential of both our model and our empirical approach for further research.Spanish Ministry of Economy, Industry and Competitiveness (EXTRA project, grant CSO2013-48053-R)Oslo Institute for Research on the Impact of Science (OSIRIS, grant 256240)RamoÂŽn y Cajal grant from the Spanish Ministry of Science (RYC2019- 027886-I

    Regional innovation system research trends: toward knowledge management and entrepreneurial ecosystems

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    [EN] The regional innovation system (RIS) is a popular way of explaining a region¿s development and competitiveness based on innovation activities and processes. In this paper, bibliometric techniques are used to analyze all RIS studies indexed in the Web of Science Core Collection (WoS CC) database as of December 2017. The goal of the analysis is to identify the main trends in RIS research. The evolution of the total number of publications and citations per year indicates that this research field has garnered considerable attention from the scientific community, public administrations, and international organizations. Analysis of the most common keywords and their co-occurrence sheds light on the conceptual framework of RIS research, where knowledge, innovation, clusters, policy, networks, systems, R&D, firms, and industry are key concepts. The 17 most influential RIS articles indexed in WoS CC are identified according to the total number of citations and the ratio of number of citations per year. Reviewing these 17 articles reveals 3 groups of underlying research trends: (1) research on innovation systems, which was mainly conducted in the 1990s, (2) research on knowledge management since the beginning of the 2000s, and (3) research on entrepreneurial ecosystems in recent years. Finally, analysis of citations to these 17 most influential RIS articles reveals strong interconnections according to the number of times they are cited together.Norat Roig-Tierno wish to thank Project GV/2019/063, funded by the Generalitat Valenciana, for supporting this research.López-Rubio, P.; Roig-Tierno, N.; Mas-Tur, A. (2020). Regional innovation system research trends: toward knowledge management and entrepreneurial ecosystems. 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    The State of Altmetrics: A Tenth Anniversary Celebration

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    Altmetric’s mission is to help others understand the influence of research online.We collate what people are saying about published research in sources such as the mainstream media, policy documents, social networks, blogs, and other scholarly and non-scholarly forums to provide a more robust picture of the influence and reach of scholarly work. Altmetric works with some of the biggest publishers, funders, businesses and institutions around the world to deliver this data in an accessible and reliable format. Contents Altmetrics, Ten Years Later, Euan Adie (Altmetric (founder) & Overton) Reflections on Altmetrics, Gemma Derrick (University of Lancaster), Fereshteh Didegah (Karolinska Institutet & Simon Fraser University), Paul Groth (University of Amsterdam), Cameron Neylon (Curtin University), Jason Priem (Our Research), Shenmeng Xu (University of North Carolina at Chapel Hill), Zohreh Zahedi (Leiden University) Worldwide Awareness and Use of Altmetrics, Yin-Leng Theng (Nanyang Technological University) Leveraging Machine Learning on Altmetrics Big Data, Saeed-Ul Hassan (Information Technology University), Naif R. Aljohani (King Abdulaziz University), Timothy D. Bowman (Wayne State University) Altmetrics as Social-Spatial Sensors, Vanash M. Patel (West Hertfordshire Hospitals NHS Trust), Robin Haunschild (Max Planck Institute for Solid State Research), Lutz Bornmann (Administrative Headquarters of the Max Planck Society) Altmetric’s Fable of the Hare and the Tortoise, Mike Taylor (Digital Science) The Future of Altmetrics: A Community Vision, Liesa Ross (Altmetric), Stacy Konkiel (Altmetric

    Media and Communication in Europe

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    This timely book explores how the media shape the Europeanization of the public sphere within the European Union (EU). Bringing together a range of international scholars in media studies and journalism and covering both traditional and online media, it argues that Europeanization is not just an idea - it is a real, ongoing process that we are experiencing every day. Assessing a wide range of actors and processes and acknowledging the diverse relationships between media and politics, the chapters edited by Agnieszka Stepinska reflect contemporary conceptualizations of Europeanization and unravel the complex mediatization of European politics. It covers topics as diverse as children's socialization within the European Union via kid's TV programmes; the impact of the 'Euroblogosphere' on policy decisions; and international broadcasting as one of the key elements to understanding new public diplomacy in Europe. Using the Polish EU presidency of 2011 as an extensive case study, the book's latter part shows what impact Poland's presidency had on its representation, both domestically and abroad, and questions the Presidency's actual power of attracting media attention. 'Media and Communication in Europe' is a valuable resource for any student and researcher interested in the complex relationship between the media and the EU

    Communication on sustainability in Spanish universities: analysis of websites, scientific papers and impact in social media

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    This study analyses how Spanish universities are communicating their commitment to sustainability to society. That entailed analysing the content of their websites and their scientific papers in sustainability science and technologies and measuring the impact of such research in social media. Results obtained from bibliometric approaches and institutional document analysis attest to intensified interest in sustainability among Spanish universities in recent years. The findings revealed an increase in the number of universities using terms associated with sustainability to designate the governing bodies. The present study also uses an activity index to identify universities that devote high effort to research on sustainability and seven Spanish universities were identified with output greater than 3% of the total. Mentions in social media were observed to have grown significantly in the last 10 years, with 38% of the sustainability papers receiving such attention, compared to 21% in 2010. Publications in open access journals have had a greater impact on social media, especially on Twitter and Facebook. The analysis of university websites showed that only 30% had social media accounts and only 6% blogs specifically designed to disseminate their sustainability activitiesThis research was funded by the Madrid Regional Government and the European Social Fund, Project “Towards the Consolidation of Inclusive Cities: A Challenge for Madrid” (H2019/HUM-5744

    Smart City and Halal Tourism During The Covid-19 Pandemic In Indonesia

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    The Democratization of News - Analysis and Behavior Modeling of Users in the Context of Online News Consumption

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    Die Erfindung des Internets ebnete den Weg fĂŒr die Demokratisierung von Information. Die Tatsache, dass Nachrichten fĂŒr die breite Öffentlichkeit zugĂ€nglicher wurden, barg wichtige politische Versprechen, wie zum Beispiel das Erreichen von zuvor uninformierten und daher oft inaktiven BĂŒrgern. Diese konnten sich nun dank des Internets tagesaktuell ĂŒber das politische Geschehen informieren und selbst politisch engagieren. WĂ€hrend viele Politiker und Journalisten ein Jahrzehnt lang mit dieser Entwicklung zufrieden waren, Ă€nderte sich die Situation mit dem Aufkommen der sozialen Online-Netzwerke (OSN). Diese OSNs sind heute nahezu allgegenwĂ€rtig – so beziehen inzwischen 67%67\% der Amerikaner zumindest einen Teil ihrer Nachrichten ĂŒber die sozialen Medien. Dieser Trend hat die Kosten fĂŒr die Veröffentlichung von Inhalten weiter gesenkt. Dies sah zunĂ€chst nach einer positiven Entwicklung aus, stellt inzwischen jedoch ein ernsthaftes Problem fĂŒr Demokratien dar. Anstatt dass eine schier unendliche Menge an leicht zugĂ€nglichen Informationen uns klĂŒger machen, wird die Menge an Inhalten zu einer Belastung. Eine ausgewogene Nachrichtenauswahl muss einer Flut an BeitrĂ€gen und Themen weichen, die durch das digitale soziale Umfeld des Nutzers gefiltert werden. Dies fördert die politische Polarisierung und ideologische Segregation. Mehr als die HĂ€lfte der OSN-Nutzer trauen zudem den Nachrichten, die sie lesen, nicht mehr (54%54\% machen sich Sorgen wegen Falschnachrichten). In dieses Bild passt, dass Studien berichten, dass Nutzer von OSNs dem Populismus extrem linker und rechter politischer Akteure stĂ€rker ausgesetzt sind, als Personen ohne Zugang zu sozialen Medien. Um die negativen Effekt dieser Entwicklung abzumildern, trĂ€gt meine Arbeit zum einen zum VerstĂ€ndnis des Problems bei und befasst sich mit Grundlagenforschung im Bereich der Verhaltensmodellierung. Abschließend beschĂ€ftigen wir uns mit der Gefahr der Beeinflussung der Internetnutzer durch soziale Bots und prĂ€sentieren eine auf Verhaltensmodellierung basierende Lösung. Zum besseren VerstĂ€ndnis des Nachrichtenkonsums deutschsprachiger Nutzer in OSNs, haben wir deren Verhalten auf Twitter analysiert und die Reaktionen auf kontroverse - teils verfassungsfeindliche - und nicht kontroverse Inhalte verglichen. ZusĂ€tzlich untersuchten wir die Existenz von Echokammern und Ă€hnlichen PhĂ€nomenen. Hinsichtlich des Nutzerverhaltens haben wir uns auf Netzwerke konzentriert, die ein komplexeres Nutzerverhalten zulassen. Wir entwickelten probabilistische Verhaltensmodellierungslösungen fĂŒr das Clustering und die Segmentierung von Zeitserien. Neben den BeitrĂ€gen zum VerstĂ€ndnis des Problems haben wir Lösungen zur Erkennung automatisierter Konten entwickelt. Diese Bots nehmen eine wichtige Rolle in der frĂŒhen Phase der Verbreitung von Fake News ein. Unser Expertenmodell - basierend auf aktuellen Deep-Learning-Lösungen - identifiziert, z. B., automatisierte Accounts anhand ihres Verhaltens. Meine Arbeit sensibilisiert fĂŒr diese negative Entwicklung und befasst sich mit der Grundlagenforschung im Bereich der Verhaltensmodellierung. Auch wird auf die Gefahr der Beeinflussung durch soziale Bots eingegangen und eine auf Verhaltensmodellierung basierende Lösung prĂ€sentiert
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