Visualizing the History and Perspectives of Disaster Medicine: A Bibliometric Analysis

2019 ◽  
Vol 13 (5-6) ◽  
pp. 966-973 ◽  
Author(s):  
Xinxin Hao ◽  
Yunling Liu ◽  
Xiaoxue Li ◽  
Jingchen Zheng

ABSTRACTObjective:To analyze the development of disaster medicine and to identify the main obstacles to improving disaster medicine research and application.Methods:A topic search strategy was used to search the Web of Science Core Collection database. The 100 articles with the highest local citation scores were selected for bibliometric analysis; summarizing informetric indicators; and preparing a historiography, themes network, and key word co-occurrence map.Results:The 100 articles with the highest local citation scores were published from 1983 to 2013 in 9 countries, mainly in the United States. The most productive authors were Koenig and Rubinson. The lead research institution was Columbia University. The most commonly cited journal was the Annals of Emergency Medicine. The development of disaster medicine could be separated into 3 consecutive periods. All results indicate that the development of disaster medicine faces some obstacles that need to be addressed.Conclusions:Research works have provided a solid foundation for disaster medicine, but its development has been in a slow growth period for a long time. Obstacles to the development of disaster medicine include the lack of scientist communities, transdisciplinary research, innovative research perspectives, and continuous research. Future research should overcome these obstacles so as to make further advances in this field.

Polymers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 647
Author(s):  
Mohamed Saiful Firdaus Hussin ◽  
Aludin Mohd Serah ◽  
Khairul Azri Azlan ◽  
Hasan Zuhudi Abdullah ◽  
Maizlinda Izwana Idris ◽  
...  

Collecting information from previous investigations and expressing it in a scientometrics study can be a priceless guide to getting a complete overview of a specific research area. The aim of this study is to explore the interrelated connection between alginate, gelatine, and hydroxyapatite within the scope of bone tissue and scaffold. A review of traditional literature with data mining procedures using bibliometric analyses was considered to identify the evolution of the selected research area between 2009 and 2019. Bibliometric methods and knowledge visualization technologies were implemented to investigate diverse publications based on the following indicators: year of publication, document type, language, country, institution, author, journal, keyword, and number of citations. An analysis using a bibliometric study found that 7446 papers were located with the keywords “bone tissue” and “scaffold”, and 1767 (alginate), 185 (gelatine), 5658 (hydroxyapatite) papers with those specific sub keywords. The number of publications that relate to “tissue engineering” and bone more than doubled between 2009 (1352) and 2019 (2839). China, the United States and India are the most productive countries, while Sichuan University and the Chinese Academy of Science from China are the most important institutions related to bone tissue scaffold. Materials Science and Engineering C is the most productive journal, followed by the Journal of Biomedical Materials Research Part A. This paper is a starting point, providing the first bibliometric analysis study of bone tissue and scaffold considering alginate, gelatine and hydroxyapatite. A bibliometric analysis would greatly assist in giving a scientific insight to support desired future research work, not only associated with bone tissue engineering applications. It is expected that the analysis of alginate, gelatine and hydroxyapatite in terms of 3D bioprinting, clinical outcomes, scaffold architecture, and the regenerative medicine approach will enhance the research into bone tissue engineering in the near future. Continued studies into these research fields are highly recommended.


2018 ◽  
Vol 10 (9) ◽  
pp. 3135 ◽  
Author(s):  
Yulei Xie ◽  
Ling Ji ◽  
Beibei Zhang ◽  
Gordon Huang

This study attempts to characterize the literature related to input–output analysis between 1990–2017 through bibliometric analysis technology based on the Science Citation Index and Social Sciences Citation Index databases. By means of bibliometric tools, this paper provides deep insights on the patterns of these articles, the most influential works and authors, and the emerging research topics. The results imply that China and the United States (USA) are the leading countries in terms of publication output. The Chinese Academy of Sciences is the most productive research institution, followed by Beijing Normal University and the University of Sydney. The Journal of Cleaner Production, Ecological Economics, and Energy Policy are the top mainstream journals in the input–output analysis-related field. Based on network analysis, this paper also discovers the hidden collaboration patterns and interrelations of countries, institutions, and authors. The bibliographic coupling and keywords concurrence networks are adopted to illustrate the input–output analysis evolution over time, and identify the current key research hotspots. The obtained results will help scientific researchers better understand the research status and frontier trends in this field, permit researchers to know the current research interests in the input–output analysis field, and provide useful information for further investigation and publication strategies.


2018 ◽  
Vol 13 (02) ◽  
pp. 165-172
Author(s):  
Liang Zhou ◽  
Ping Zhang ◽  
Zhigang Zhang ◽  
Lidong Fan ◽  
Shuo Tang ◽  
...  

ABSTRACTThis study analyzed and assessed publication trends in articles on “disaster medicine,” using scientometric analysis. Data were obtained from the Web of Science Core Collection (WoSCC) of Thomson Reuters on March 27, 2017. A total of 564 publications on disaster medicine were identified. There was a mild increase in the number of articles on disaster medicine from 2008 (n=55) to 2016 (n=83). Disaster Medicine and Public Health Preparedness published the most articles, the majority of articles were published in the United States, and the leading institute was Tohoku University. F. Della Corte, M. D. Christian, and P. L. Ingrassia were the top authors on the topic, and the field of public health generated the most publications. Terms analysis indicated that emergency medicine, public health, disaster preparedness, natural disasters, medicine, and management were the research hotspots, whereas Hurricane Katrina, mechanical ventilation, occupational medicine, intensive care, and European journals represented the frontiers of disaster medicine research. Overall, our analysis revealed that disaster medicine studies are closely related to other medical fields and provides researchers and policy-makers in this area with new insight into the hotspots and dynamic directions. (Disaster Med Public Health Preparedness. 2019;13:165–172)


2021 ◽  
Author(s):  
Keng Yang ◽  
Yekang Hu ◽  
Hanying Qi

BACKGROUND Digital health is growing at a rapid pace, and digital health literacy has tremendous potential to promote health outcomes, bridge the digital divide, and improve health inequalities. OBJECTIVE The purposes of this study are to conduct a systematic bibliometric analysis on the field of dig-ital health literacy and to understand the research context and trends in this field. METHODS A total of 1,955 scientific publications were collected from the Web of Science (WoS) core col-lection. Institutional cooperation, journal co-citation, theme bursting, keyword co-occurrence, author cooperation, author co-citation, literature co-citation and references in the field of digi-tal health literacy were analyzed using the VOSviewer and CiteSpace knowledge mapping tools. RESULTS The results demonstrated that the United States was the leader in number of publications and citations in this field. The University of California System was first in terms of institutional contributions. The Journal of Medical Internet Research led in number of publications, cita-tions and co-citations. Research areas in the field of digital health literacy mainly include the definition and scale of health literacy, health literacy and health outcomes, health literacy and the digital divide, and the influencing factors of health literacy. CONCLUSIONS We summarize research progress in the field of digital health literacy and reveal the context, trends, and trending topics of digital health literacy research through statistical analysis and network visualization. Our work can serve as a fundamental reference and directional guide for future research in this field.


2019 ◽  
Vol 18 ◽  
pp. 153473541984640 ◽  
Author(s):  
Jose A. Moral-Munoz ◽  
Lidia Carballo-Costa ◽  
Enrique Herrera-Viedma ◽  
Manuel J. Cobo

Background: The prevalence of cancer has increased over time worldwide. Nevertheless, the number of deaths has been reduced during the past 2 decades. Thus, one-third of the cancer patients are users of complementary and alternative therapies, looking for other types of interventions. The main aim of the present study is to understand the current status of the research in integrative and complementary oncology. Three different aspects were analyzed: production trends, country collaboration, and leading research topics. Methods: The dataset was obtained from the documents indexed under the Integrative and Complementary Medicine category of the Web of Science database from 1976 to 2017. VOSviewer and SciMAT software were employed to perform the bibliometric analysis. Results: The Journal of Ethnopharmacology, China Medical University and the People’s Republic of China are the leading producers in the field. Regarding the collaboration, the United States and China present a close connection. The scientific community is focused on the following topics: apoptosis, breast cancer, oxidative stress, chemotherapy, and nuclear factor-Kappa-B (NF-Kappa-B). Conclusions: The present article shows potentially important information that allows understanding of the past, present, and future of research in integrative and complementary oncology. It is a useful evidence-based framework on which to base future research actions and academic directions.


2020 ◽  
Vol 71 (11) ◽  
pp. 3296-3304
Author(s):  
Hong Zhou ◽  
Klaus von Schwartzenberg

Abstract The class of conjugating green algae, Zygnematophyceae (Conjugatophyceae), is extremely rich in species and has attracted the interest of phycologists for a long time. It is now widely accepted that this class of charophyte algae holds a key position in the phylogenetic tree of streptophytes, where they represent the closest relatives to all land plants (embryophytes). It is increasingly evident that robust model plants that can be easily cultivated and genetically transformed are necessary to better understand the process of terrestrialization and the related molecular, cellular, and physiological adaptations. Living algae collections play an important role, not only for phylogenomic-based taxonomy but also for screening for suitable model organisms. For this review, we screened six major public algae collections for Zygnematophyceae strains and established a cumulative list comprising 738 different taxa (including species, subspecies, varieties, and forms). From the described biodiversity with 8883 registered taxa (AlgaeBase) the cultured Zygnematophyceae taxa worldwide cover only ~8.3%. We review the past research on this clade of algae and discuss it from the perspective of establishing a model organism. We present data on the life cycle of the genera Micrasterias and Spirogyra, representing the orders Desmidiales and Zygnematales, and outline the current status of genetic transformation of Zygnematophyceae algae and future research perspectives.


Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 526
Author(s):  
Xiaoe Ding ◽  
Minrui Zheng ◽  
Xinqi Zheng

Land use optimization (LUO) first considers which types of land use should exist in a certain area, and secondly, how to allocate these land use types to specific land grid units. As an intelligent global optimization search algorithm, the Genetic Algorithm (GA) has been widely used in this field. However, there are no comprehensive reviews concerning the development process for the application of the Genetic Algorithm in land use optimization (GA-LUO). This article used a bibliometric analysis method to explore current state and development trends for GA-LUO from 1154 relevant documents published over the past 25 years from Web of Science. We also displayed a visualization network from the aspects of core authors, research institutions, and highly cited literature. The results show the following: (1) The countries that published the most articles are the United States and China, and the Chinese Academy of Sciences is the research institution that publishes the most articles. (2) The top 10 cited articles focused on describing how to build GA models for multi-objective LUO. (3) According to the number of keywords that appear for the first time in each time period, we divided the process of GA-LUO into four stages: the presentation and improvement of methods stage (1995–2004), the optimization stage (2005–2008), the hybrid application of multiple models stage (2009–2016), and the introduction of the latest method stage (after 2017). Furthermore, future research trends are mainly manifested in integrating together algorithms with GA and deepening existing research results. This review could help researchers know this research domain well and provide effective solutions for land use problems to ensure the sustainable use of land resources.


2021 ◽  
Vol 12 ◽  
Author(s):  
Xiuqing Zhu ◽  
Jinqing Hu ◽  
Shuhua Deng ◽  
Yaqian Tan ◽  
Chang Qiu ◽  
...  

Background: Emerging evidence implicates the dysregulated kynurenine pathway (KP), an immune-inflammatory pathway, in the pathophysiology of mood disorders (MD), including depression and bipolar disorder characterized by a low-grade chronic pro-inflammatory state. The metabolites of the KP, an important part of the microbiota-gut-brain axis, serve as immune system modulators linking the gut microbiota (GM) with the host central nervous system.Aim: This bibliometric analysis aimed to provide a first glimpse into the KP in MD, with a focus on GM research in this field, to guide future research and promote the development of this field.Methods: Publications relating to the KP in MD between the years 2000 and 2020 were retrieved from the Scopus and Web of Science Core Collection (WoSCC), and analyzed in CiteSpace (5.7 R5W), biblioshiny (using R-Studio), and VOSviewer (1.6.16).Results: In total, 1,064 and 948 documents were extracted from the Scopus and WoSCC databases, respectively. The publications have shown rapid growth since 2006, partly owing to the largest research hotspot appearing since then, “quinolinic acid.” All the top five most relevant journals were in the neuropsychiatry field, such as Brain Behavior and Immunity. The United States and Innsbruck Medical University were the most influential country and institute, respectively. Journal co-citation analysis showed a strong tendency toward co-citation of research in the psychiatry field. Reference co-citation analysis revealed that the top four most important research focuses were “kynurenine pathway,” “psychoneuroimmunology,” “indoleamine 2,3-dioxygenase,” and “proinflammatory cytokines,” and the most recent focus was “gut-brain axis,” thus indicating the role of the KP in bridging the GM and the host immune system, and together reflecting the field’s research foundations. Overlap analysis between the thematic map of keywords and the keyword burst analysis revealed that the topics “Alzheimer’s disease,” “prefrontal cortex,” and “acid,” were research frontiers.Conclusion: This comprehensive bibliometric study provides an updated perspective on research associated with the KP in MD, with a focus on the current status of GM research in this field. This perspective may benefit researchers in choosing suitable journals and collaborators, and aid in the further understanding of the field’s hotspots and frontiers, thus facilitating future research.


Author(s):  
Gabrieli Marques Camillo ◽  
Silvio Luis De Vasconcellos ◽  
Mohamed Amal

Purpose – To identify the theoretical frameworks and the mains topics that support the concept of digital capabilities.Theoretical framework – This study is the result of a bibliometric analysis. The main research topics that structure this research are: Digital Transformation and Digital Capabilities.Design/methodology/approach – The scientometry design has been utilised through VOSviewer software, resulting in a bibliometric analysis of 741 papers from journals in the area of business, economics and social sciences. Papers were collected in the Scopus database.Findings – The results reveal that the main theoretical frameworks are connected with the resource-based view, dynamic capabilities and strategy in digital transformation. The topics that support the concepts of digital capabilities are: digital transformation, industry 4.0, innovation, electronic commerce and innovation in business models.Research, Practical Social implications – The implications are the indication of theories, concepts and recommendations for the advancement of research on digital capabilities from other existing works. Such recommendations address research gaps identified through systematic and objective analysis. The results make it possible to propose future research perspectives. Empirically, this study helps managers to find the main research topics in the field of research regarding digital capabilities. Moreover, it allows them to understand how the use of these strategies concerning digital transformation can generate sustainable competitive advantage.Originality/value – This study contributes with the indication of theories, concepts and recommendations for the advancement of research regarding digital capabilities. The consolidation of the topic that is still expanding contributes to the advancement of the theory.  


2021 ◽  
Vol 13 (17) ◽  
pp. 9673
Author(s):  
Feng Han ◽  
Zhangcong Feng ◽  
Chao Wang ◽  
Nujie Yang ◽  
Dong Yang ◽  
...  

Although industrial activity has brought about rapid economic growth, it also faces the dual challenges of resource constraints and environmental pressure. Industrial ecology (IE) and ecological modernization (EM) are two theories regarding the conceptualization and implementation of sustainable development that emerged from the natural and social sciences, respectively. Over the past three decades, scholars have conducted copious amounts of theoretical and applied research on IE and EM, but comparative studies from an interdisciplinary perspective on the relationship between the two remain relatively rare. On the basis of a bibliometric analysis, this study offers a comprehensive examination of the background, theoretical connotations, and main content of IE and EM, also exploring the role of both theoretical perspectives in the promotion of sustainable industrial development. The findings are fourfold: (1) the research on IE and EM has been increasing year by year, particularly in the past decade; (2) the research is mostly concentrated in developed countries such as the United States and European Union member nations, and contributions from China have increased significantly in recent years; (3) IE has a broader research community than EM and has evolved clearer and more specific research contents and methods; and (4) IE, which analyzes the problems of specific industrial systems, and EM, which constitutes a higher-level institutional policy design, exhibit a trend of cross-fertilization. This study provides a reference for building a more systematic and comprehensive theoretical system of ecological transformation and discusses the future research directions in this field.


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