Chitosan has attracted increasing attention from researchers in the pharmaceutical and biomedical fields as a potential agent for the prevention and treatment of infectious diseases. However, identifying the development of emerging technologies related to this biopolymer is difficult, especially for newcomers trying to understand the research streams. In this work, we designed and implemented a research process based on a bibliometric predictive intelligence model. Our aim is to glean detailed scientific and technological trends through an analysis of publications that include certain word phrases and related research areas. Cross correlation, factor mapping, and the calculation of “emergent” scores were also used. A total of 1,612 scientific papers on chitosan technology related to viral disease treatment published between 2010 and 2020 were retrieved from the Web of Science. Results from the keyword modelling quantitatively highlight three major frontier research and development topic groups: drug delivery and adjuvants, vaccines and immune response, and tissue engineering. More specifically, the emergent scores show that much of the chitosan-based treatment for viral diseases is in the in vitro stage of development. Most chitosan applications are in pharmacology/pharmacy and immunology. All results were confirmed by experts in the field, which indicates that the validated process can be applied to other fields of interest.
Link to FULL-TEXT https://doi.org/10.1155/2020/6612034
Author(s): Worasak Klongthong, Veera Muangsin, Chupun Gowanit, Nongnuj Muangsin
Organization(s): Chulalongkorn University
Source: Journal of Chemistry
We describe a characterization of the conceptual and emotional changes on environmental issues in a sample of firms certified under the ISO 14001 standard. Business communications regarding the main Spanish industrial firms have been downloaded from the ABI/INFORM database and processed using Vantage Point software, in order to study the evolution of the main concepts and emotions before and after the certification year. Our study concludes that in the years before certification environmental management was fundamentally tied to operative issues, broadly pivoting on the immediate impact of a firm’s productive activities. Environmental management gains strategic traction in the years after certification, positioning itself near corporate decision-making concepts and associated with adjectives that denote relevance and positivity. The sentiment analysis points at an increased positivity of environment-related issues, accompanied by a general decrease in negative emotions and an increased presence of expectation and planning emotions.
Author(s): Gaizka Garechana, Rosa Rio-Belver, Enara Zarrabeitia, Izaskun Alvarez-Meaza
Organization(s): University of the Basque Country UPV/EHU
Source: Journal of Emerging Technologies in Accounting JETA
The COVID-19 pandemic presented a challenge to the global research community as scientists rushed to find solutions to the devastating crisis. Drawing expectations from resilience theory, this paper explores how the trajectory of and research community around the coronavirus research was affected by the COVID-19 pandemic. Characterizing epistemic clusters and pathways of knowledge through extracting terms featured in articles in early COVID-19 research, combined with evolutionary pathways and statistical analysis, the results reveal that the pandemic disrupted existing lines of coronavirus research to a large degree. While some communities of coronavirus research are similar pre- and during COVID-19, topics themselves change significantly and there is less cohesion amongst early COVID19 research compared to that before the pandemic. We find that some lines of research revert to basic research pursued almost a decade earlier, whilst others pursue brand new trajectories. The epidemiology topic is the most resilient among the many subjects related to COVID-19 research. Chinese researchers in particular appear to be driving more novel research approaches in the early months of the pandemic. The findings raise questions about whether shifts are advantageous for global scientific progress, and whether the research community will return to the original equilibrium or reorganize into a different knowledge configuration.
Link to FULL-TEXT https://link.springer.com/article/10.1007/s11192-021-03946-7
Author(s): Yi Zhang, Xiaojing Cai, Caroline V. Fry, Mengjia Wu, Caroline S. Wagner
Organization(s): University of Technology Sydney, The Ohio State University, University of Hawai’i at Manoa Shidler College of Business
As a global pandemic threatens health and livelihoods, finding effective treatments has become a vital issue that requires worldwide collaboration. This study examines research collaboration and network profiles through a case study of coronavirus diseases, including both the extinct severe acute respiratory syndrome coronavirus (SARS-CoV) and the emerging species (SARS-CoV-2). A scientometric process was designed to apply quantitative tools and a qualitative approach employing technological expertise to accomplish a three-level collaboration analysis. The text mining software, VantagePoint, was used to analyze research articles from the Web of Science database to identify the key national, organizational, and individual players in the coronavirus research field combined with indicators, namely, the breadth and depth of collaboration. The results show that China and the United States are at the center of coronavirus research networks at all three levels, including many endeavors involving single or joint entities. This study demonstrates how governments, public sectors, and private sectors, such as the pharmaceutical industry, can use scientometric analysis to gain insight into the holistic research trends and networks of players in this field, leading to the formulation of strategies to strengthen research and development programs. Furthermore, this approach can be utilized as a visualization and decision support tool for further policy planning, identification and execution of collaboration, and research exchange opportunities. This scientometric process should be directly applicable to other fields.
Link to FULL-TEXT 10.1109/ACCESS.2021.3066450
Author(s): Jakkrit Thavorn, Chupun Gowanit, Veera Muangsin, Nongnuj Muangsin
Organization(s): Chulalongkorn University
Source: IEEE Access
This article aims to map the scientific production concerning the inclusion of people with disabilities in Science Education to promote a reflection on the production of this area. Bibliometric analysis is used to help understand what stage of research a particular subject is at. Publications on the topic indexed at the Web of Science Core Collection (WoS) were evaluated. A total of 119 articles published between 2009 and July 2019 were selected as dealing specifically with the subject. An increase in the number of articles associating Science teaching (ST) and Inclusive Education (IE) was noted. The journals that published the most, the most productive authors in the area and their collaboration networks were identified. A content analysis of the research was also carried out and the main investigated topics were pointed out. Educational levels, types of disabilities, central themes and specific science areas prevailing in the mapped research were also indicated. We conclude that, despite the growing number of articles, scientific production associating SE and IE is still small, concentrated, and not shared with the scientific community through scientific education journals, and that most research is focused on the use of methodologies and resources, and not on their development.
Author(s): Michele Waltz Comarú, Renato Matos Lopes,Luiza Amara Maciel Braga, Fabio Batista Mota, Cecília Galvão
Organization(s):Federal Institute of Rio de Janeiro, Oswaldo Cruz Foundation, University of Lisbon
Source: Studies in Science Education
The COVID-19 pandemic presents a great public health challenge worldwide, especially given the urgent need to identify effective drugs and develop a vaccine in a short period of time. Globally, several drugs and vaccine candidates are in clinical trials. However, because these drugs and vaccines are still being tested, there is still no definition of which ones will succeed.This study aimed to assess the opinions of over 1000 virus researchers with knowledge on the prevention and treatment of coronavirus-related human diseases to determine the most promising drug and vaccine candidates to address COVID-19. We mapped the clinical trials related to COVID-19 registered at ClinicalTrials.gov. These data were used to prepare a survey questionnaire about treatments and vaccine candidates for COVID-19. In May 2020, a global survey was conducted with authors of recent scientific publications indexed in the Web of Science Core Collection related to viruses, severe acute respiratory syndrome coronavirus, coronaviruses, and COVID-19. Remdesivir, immunoglobulin from cured patients, and plasma were considered to be the most promising treatments in May 2020, while ChAdOx1 and mRNA-1273 were considered to be the most promising vaccine candidates. Almost two-thirds of the respondents (766/1219, 62.8%) believed that vaccines for COVID-19 were likely to be available in the next 18 months. Slightly fewer than 25% (289/1219, 23.7%) believed that a vaccine was feasible, but probably not within 18 months. The issues addressed in this study are constantly evolving; therefore, the current state of knowledge has changed since the survey was conducted. However, for several months after the survey, the respondents’ expectations were in line with recent results related to treatments and vaccine candidates for COVID-19.
Author(s): Bernardo Pereira Cabral, Luiza Braga, Fabio Mota
Organization(s): Oswaldo Cruz Foundation, Federal University of Bahia, Fluminense Federal University
Source:JMIR PUBLIC HEALTH AND SURVEILLANCE
What can we know about human-animal interactions (HAI) research by looking at information about its research articles, such as publication information, text of abstracts or author keywords, or citation patterns? Bibliometric analysis, the quantification of information about published articles, is a tool we can use to gain a perspective of the status of research in a particular field. In this study, information about four decades of HAI research publications was obtained from the multidisciplinary research database Web of Science Core Collection, and analyzed to look for informative patterns about this body of research using Microsoft Excel and VantagePoint text mining software. The data set of 1715 articles included first reports of research and review articles published between 1982 and 2018. Analyses reveal that there has been steady growth of HAI research publication, both in terms of annual number of articles published and distinct journal titles publishing these articles, with these numbers climbing more sharply in recent years. HAI research is very collaborative, and many countries are represented through author affiliations, although most of the research is written in English. Veterinary medicine/science and psychology/psychiatry were the top departments found in author affiliations. The animals mentioned in the research cover house pets, horses, livestock, and wild animals. Moreover, there is evidence that external funding for HAI research is slowly increasing. In short, a bibliometric analysis of HAI publications found through Web of Science Core Collection provides a panorama of this growing field of research.
Author(s): Jane Kinkus Yatcilla
Organization: Purdue University
Over the years, has been growing policies aiming to reduce the greenhouses gases emissions – GHG, which lead for the searching of sustainable alternative solutions. One way mitigates the GHG emissions is the use of renewable energy sources. Nevertheless, for the use of such resources there are a series of processes inherent to the energy production and consumption, being the supply chain one of the principals. Based on this, the main objective of present article is to map the role of renewable energies inside the context of sustainable supply chain, observing how the studies have been developed, looking for the main researchers, organizations and collaboration networks, being at final a mapping of the 15 most cited studies in area. The research was carried out with the papers published at Web of Science database, using VantagePoint software to quantify the information’s, including the evolution of studies over time until 2019. It was possible to perceive that the research has been growing since 2010, moreover, subjects related to biomass, biofuels and photovoltaic energy were the most recurrent at the most cited. However, within this framework, the theme presented itself as new and that there are still great potentials to be explored.
Author(s): Eduardo do Carmo Marques, Maxwel de Azevedo-Ferreira, Luis Hernández-Callejo, Ronney Mancebo Boloy, Vanessa de Almeida Guimarães
Organization: Centro Federal de Educação Tecnológica Celso Suckow da Fonseca,Instituto Federal de Educação e Ciência e Tecnologia do Rio de Janeiro, Universidad de Valladolid
Source: Proceedings of the III Ibero-American Conference on Smart Cities (ICSC-2020)
The paper provides an overview of the global research on graduate education. The study applied a combination of a bibliometric and social network analysis methods to bibliographic data from Thompson Reuters’ Web of Science. More specifically, a keyword search approach was used to retrieve 2,454 articles on graduate education from 1996 until 2020. The set was processed with the VantagePoint software. The paper reports the findings in the form of lists of top scholars, research centres, and countries contributing to research on graduate education. The findings include similar lists of the key funding agencies, contributing disciplines and publication venues, as well as maps representing collaborative activity in the field between institutions, and countries. Finally, the frequency of utilisation of groups of author-supplied keywords is analysed to determine the basic thematic structure of the research on the topic. The originality of the paper consists in the fact that it represents the first attempt to map the landscape of research on graduate education using bibliographic data. It can be used to supplement the results of literature reviews on the topic, which apply a more in-depth content analysis-based approaches to a limited number of papers to determine the thematic structure of the field.
Author: Aliya Kuzhabekova
Organization: Nazarbayev University
Source: Journal of Further and Higher Education
Advanced oxidation processes (AOPs) constitute a developing area of particular interest for researchers in different fields due to their broad range of applications. However, there are few studies dedicated to the bibliometric analysis of AOPs. Hence, a systematic literature review of research publications (research articles, review articles, and book chapters) from 1980 to 2018 was carried out to visualize and evaluate research trends on AOPs around the world and, especially in Ibero-America (IA), on the field of wastewater treatment. Using the most extensive databases in literature search, Scopus and Web of Science (WoS), which encompass 95% of the publications in the world, a total of 18,751 records were retrieved by limiting the search results to words associated with AOPs in the titles, keyword, and abstracts. Raw data were manually organized and filtered, standardizing authors and institution names, publication titles, and keywords for the purpose of eliminating double-counted entries. Similarly, homonymous authors and institutions were identified for all records retrieved. The bibliometric dataset was processed using the VantagePoint software. The research trends visualized about AOPs were as follows: number of publications per triennium, publications by country, participation by continent, most important journals and authors, most referenced institutions, global network of co-authors, and keywords network visualization, highlighting the Ibero-American contribution to global research.
Author(s): Iván F. Macías-Quiroga, Paula A. Henao-Aguirre, Alexander Marín-Flórez, Sandra M. Arredondo-López & Nancy R. Sanabria-González
Organization(s): Universidad Nacional de Colombia
Source: Environmental Science and Pollution Research