scholarly journals A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

2020 ◽  
Vol 12 (21) ◽  
pp. 9132
Author(s):  
Aleksander Aristovnik ◽  
Dejan Ravšelj ◽  
Lan Umek
Keyword(s):  
Social Science ◽  
Bibliometric Analysis ◽  
Research Collaboration ◽  
Early Stage ◽  
Social Science Research ◽  
Science Research ◽  
Relevant Information ◽  
Subject Area ◽  
Venn Diagram ◽  
Scientific Disciplines

The lack of knowledge about the COVID-19 pandemic has encouraged extensive research in the academic sphere, reflected in the exponentially growing scientific literature. While the state of COVID-19 research reveals it is currently in an early stage of developing knowledge, a comprehensive and in-depth overview is still missing. Accordingly, the paper’s main aim is to provide an extensive bibliometric analysis of COVID-19 research across the science and social science research landscape, using innovative bibliometric approaches (e.g., Venn diagram, Biblioshiny descriptive statistics, VOSviewer co-occurrence network analysis, Jaccard distance cluster analysis, text mining based on binary logistic regression). The bibliometric analysis considers the Scopus database, including all relevant information on COVID-19 related publications (n = 16,866) available in the first half of 2020. The empirical results indicate the domination of health sciences in terms of number of relevant publications and total citations, while physical sciences and social sciences and humanities lag behind significantly. Nevertheless, there is an evidence of COVID-19 research collaboration within and between different subject area classifications with a gradual increase in importance of non-health scientific disciplines. The findings emphasize the great need for a comprehensive and in-depth approach that considers various scientific disciplines in COVID-19 research so as to benefit not only the scientific community but evidence-based policymaking as part of efforts to properly respond to the COVID-19 pandemic.

scholarly journals A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

2020 ◽  
Author(s):  
Aleksander Aristovnik ◽  
Dejan Ravšelj ◽  
Lan Umek
Keyword(s):  
Social Science ◽  
Bibliometric Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Venn Diagram ◽  
The Novel ◽  
Current State ◽  
Scientific Disciplines ◽  
Fast Spreading ◽  
Novel Coronavirus

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 fast 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, using innovative and sophisticated bibliometric approaches (e.g. Venn diagram, Biblioshiny descriptive statistics, VOSviewer co-occurrence network analysis, Jaccard distance cluster analysis, text mining based on logistic regression). The bibliometric analysis is based on the Scopus database including all relevant and latest information on COVID-19 related publications (n=16,866) in the first half of 2020. The empirical results indicate that there is still a lack of publications of COVID-19 and its implications in less-explored (non-health) sciences, especially in social sciences. Accordingly, the findings emphasize an importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.

scholarly journals A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

2020 ◽  
Author(s):  
Aleksander Aristovnik ◽  
Dejan Ravšelj ◽  
Lan Umek
Keyword(s):  
Social Science ◽  
Bibliometric Analysis ◽  
Scientific Literature ◽  
Social Science Research ◽  
Science Research ◽  
The Novel ◽  
Wuhan City ◽  
Current State ◽  
Scientific Disciplines ◽  
Novel Coronavirus

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 importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.

scholarly journals A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

2020 ◽  
Author(s):  
Aleksander Aristovnik ◽  
Dejan Ravšelj ◽  
Lan Umek
Keyword(s):  
Social Science ◽  
Bibliometric Analysis ◽  
Social Science Research ◽  
Science Research ◽  
The Novel ◽  
Wuhan City ◽  
Current State ◽  
Scientific Disciplines ◽  
Fast Spreading ◽  
Novel Coronavirus

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 fast 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 (n=16,866) in the first half of 2020. The findings emphasize an importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.

scholarly journals A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

2020 ◽  
Author(s):  
Aleksander Aristovnik ◽  
Dejan Ravšelj ◽  
Lan Umek
Keyword(s):  
Social Science ◽  
Bibliometric Analysis ◽  
Social Science Research ◽  
Science Research ◽  
The Novel ◽  
Wuhan City ◽  
Current State ◽  
Scientific Disciplines ◽  
Fast Spreading ◽  
Novel Coronavirus

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 fast 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 (n=10,344) in the January-May 2020 period. The findings emphasize an importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.

scholarly journals Use of Web 2.0 Social Networking Sites for Collaborative Sharing Research Information by the Social Science Research Scholars at Alagappa University, Karaikudi.

2020 ◽  
Vol 9 (3) ◽  
pp. 70-74
Keyword(s):  
Social Science ◽  
Web 2.0 ◽  
Social Networking ◽  
Social Networking Sites ◽  
Research Collaboration ◽  
Social Science Research ◽  
Science Research ◽  
Research Information ◽  
The Social ◽  
Strongly Agree

This study attempts to the Web 2.0 Social Networking Sites for Collaborative Sharing Research Information by the Social Science Research Scholars at Alagappa University, Karaikudi. A sample size 97 Scholars was selected by random sampling method. The data required for the study were collected through a questionnaire. The findings of the study: 30.9% of the respondents using Facebook/ WhatsApp along with most highly used in the popular web browser used for Google chrome 72.2% Google chrome. 48.5% of respondents’ preference of “Very Strongly Agree” Collaborate with Research projects and Teams. Whereas 46.4% “Research Collaboration “Strongly agree” of the respondents respectively. 30.9% purpose of Web 2.0 for Collaborations of Research Communication while 19.6% Opportunities and Learning for Web 2.0 tools support social interaction in the learning process of the respondents respectively.

scholarly journals Working together to co-produce better health: The experience of the Collaboration for Leadership in Applied Health Research and Care for Northwest London

2020 ◽  
Vol 26 (1) ◽  
pp. 28-36
Author(s):  
Cicely A Marston ◽  
Rachel Matthews ◽  
Alicia Renedo ◽  
Julie E Reed
Keyword(s):  
Health Care ◽  
Social Science ◽  
Health Research ◽  
Research Collaboration ◽  
Social Science Research ◽  
Science Research ◽  
Good Evidence ◽  
Care Practice ◽  
New Ways Of Working ◽  
Applied Health Research

Objectives To improve the provision of health care, academics can be asked to collaborate with clinicians, and clinicians with patients. Generating good evidence on health care practice depends on these collaborations working well. Yet such relationships are not the norm. We examine how social science research and health care improvement practice were linked through a programme designed to broker collaborations between clinicians, academics, and patients to improve health care – the UK National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care for Northwest London. We discuss the successes and challenges of the collaboration and make suggestions on how to develop synergistic relationships that facilitate co-production of social science knowledge and its translation into practice. Methods A qualitative approach was used, including ethnographic elements and critical, reflexive dialogue between members of the two collaborating teams. Results Key challenges and remedies were connected with the risks associated with new ways of working. These risks included differing ideas between collaborators about the purpose, value, and expectations of research, and institutional opposition. Dialogue between collaborators did not mean absence of tensions or clashes. Risk-taking was unpopular – institutions, funders, and partners did not always support it, despite simultaneously demanding ‘innovation’ in producing research that influenced practice. Conclusions Our path was made smoother because we had funding to support the creation of a ‘potential space’ to experiment with different ways of working. Other factors that can enhance collaboration include a shared commitment to dialogical practice, a recognition of the legitimacy of different partners’ knowledge, a long timeframe to identify and resolve problems, the maintenance of an enabling environment for collaboration, a willingness to work iteratively and reflexively, and a shared end goal.

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