Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles

11/08/2021
by   Yi Zhao, et al.
0

The outbreak of coronavirus disease 2019 (COVID-19) has had a significant repercussion on the health, economy, politics and environment, making coronavirus-related issues more complicated and difficult to solve adequately by relying on a single field. Interdisciplinary research can provide an effective solution to complex issues in the related field of coronavirus. However, whether coronavirus related research becomes more interdisciplinary still needs corroboration. In this study, we investigate interdisciplinary status of the coronavirus-related fields via the COVID-19 Open Research Dataset (CORD-19). To this end, we calculate bibliometric indicators of interdisciplinarity and a co-occurrence analysis method. The results show that co-occurrence relationships between cited disciplines have evolved dynamically over time. The two types of co-occurrence relationships, Immunology and Microbiology Medicine and Chemical Engineering Chemistry, last for a long time in this field during 1990-2020. Moreover, the number of disciplines cited by coronavirus-related research increases, whereas the distribution of disciplines is uneven, and this field tends to focus on several dominant disciplines such as Medicine, Immunology and Microbiology, Biochemistry, Genetics and Molecular Biology. We also gauge the disciplinary diversity of COVID-19 related papers published from January to December 2020; the disciplinary variety shows an upward trend, while the degree of disciplinary balance shows a downward trend. Meanwhile, the comprehensive index 2Ds demonstrates that the degree of interdisciplinarity in coronavirus field decreases between 1990 and 2019, but it increases in 2020. The results help to map the interdisciplinarity of coronavirus-related research, gaining insight into the degree and history of interdisciplinary cooperation.

READ FULL TEXT
research
08/30/2021

Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research

The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have...
research
07/14/2023

Digital Health Discussion Through Articles Published Until the Year 2021: A Digital Topic Modeling Approach

The digital health industry has grown in popularity since the 2010s, but...
research
08/31/2023

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology

Purpose: In this paper, we present an automated method for article class...
research
02/13/2023

On the importance of AI research beyond disciplines

As the impact of AI on various scientific fields is increasing, it is cr...
research
05/23/2023

Evaluating the Efficacy of ChatGPT-4 in Providing Scientific References across Diverse Disciplines

This work conducts a comprehensive exploration into the proficiency of O...
research
02/04/2021

Coevolution of theoretical and applied research: a case study of graphene research by temporal and geographic analysis

As a part of science of science (SciSci) research, the evolution of scie...
research
03/09/2020

Differential Network Analysis: A Statistical Perspective

Networks effectively capture interactions among components of complex sy...

Please sign up or login with your details

Forgot password? Click here to reset