Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network (original) (raw)
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Bibliometric method for mapping the state of the art of scientific production in Covid-19
Chaos, Solitons & Fractals, 2020
Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
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Covid-19 has rapidly redefined the agenda of technological research and development both for academics and practitioners. If the medical scientific publication system has promptly reacted to this new situation, other domains, particularly in new technologies, struggle to map what is happening in their contexts. The pandemic has created the need for a rapid detection of technological convergence phenomena, but at the same time it has made clear that this task is impossible on the basis of traditional patent and publication indicators. This paper presents a novel methodology to perform a rapid detection of the fast technological convergence phenomenon that is occurring under the pressure of the Covid-19 pandemic. The fast detection has been performed thanks to the use of a novel source: the online blogging platform Medium. We demonstrate that the hybrid structure of this social journalism platform allows a rapid detection of innovation phenomena, unlike other traditional sources. The ...
A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020
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The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. T...
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Scholars argue that the ‘‘science of science’’ studies have to investigate the critical role of exogenous events in the emergence of new research fields. The goal of this study is to analyze and explain the birth and growth of new research fields driven by exogenous event to science, such as COVID-19 (Coronavirus disease 2019) global pandemic crisis. This study here analyzes how the novel research field of COVID-19 emerges, in a comparative analysis with other scientific fields concerning respiratory illnesses (e.g., Chronic Obstructive Pulmonary Disease, COPD and Lung Cancer), to explain factors determining the unique dynamics of science that is generating scientific breakthroughs in a short period of time. The origin and evolution of the research field of COVID-19 reveal that has an acceleration of scientific production equal to a growth of 1.71% daily in 2020, laying the foundations for science advances and a likely paradigm shift in the treatment of infectious diseases with nove...
A bibliometric analysis of COVID 19 related literature
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Bibliometric analysis of COVID-19 editorial materials in the beginning stage of the pandemic
Malaysian Journal of Library & Information Science
Editorial materials express the opinions of the scientific community and guides the publication foci; thus, providing insight into the dynamics of the knowledge ecosystem in a scenario that impacts innovation and public policies. The purpose of this bibliometric analysis was to identify the main characteristics of the editorial materials published at the beginning stage of the COVID-19 pandemic, published between 2019 and April 30, 2020 and indexed in the Web of Science Core Collection. A total of 537 editorial materials were written by 1,455 authors, primarily in English, and in the general and internal medicine category. The majority of these editorial materials were published in the British Medical Journal and Lancet. The United States, China, and United Kingdom had the most editorial materials, with Harvard Medical School, Imperial College, and Oxford University were the leading universities. Richard Horton was the most prolific author and the editorial material by Hui et al. (2...
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The COVID-19 pandemic caused by the novel coronavirus emerged in Wuhan City, Hubei province of China at the end of 2019, has radically transformed the lives of people around the world. Due to its high spreading, it is currently considered as a worldwide health, social and economic concern. The lack of knowledge on this area has encouraged academic sphere for extensive research, which is reflected in exponentially growing scientific literature in this area. However, current state of COVID-19 research reveals only early development of knowledge, while a comprehensive and in-depth overview remains neglected. Accordingly, the main aim of this paper is to fill the aforementioned gap in the literature and provide an extensive bibliometric analysis of COVID-19 research across science and social science research landscape. The bibliometric analysis is based on the Scopus database including all relevant and latest information on COVID-19 related publications. The findings emphasize an import...