Producción Científica

Research trend of bacterial leaf blight on rice in the millennium era: a bibliometric and scientometric approach for capture future insight

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In the 21st century, population growth affects food demand, especially rice. Xanthomonas oryzae pv. oryzae causes bacterial leaf blight (BLB) disease, the worldwide rice production problem. As pathogen pathotypes vary, research into disease control advances rapidly. Thus, these trends must be mapped to inform future studies. This study aims to examine previous research using bibliometric and scientometric methods to inform future research. Scopus publication data was analyzed utilizing VOSviewer and CiteSpace. Research progress, popular research, productive countries, productive researchers, essential keywords, and global collaboration were explored. Analysis of recent research data predicts future trends. The findings indicate that 21st-century BLB research is advancing at an astounding rate and significantly surpasses that of previous periods, with 596 articles (91.69%) published during this era. Agricultural and Biological Sciences is the leading focus due to its substantial emphasis on genetics-related issues. A statistical analysis of the most prolific countries over the past two decades reveals that the United States, China, and India produce the highest number of articles. China and India are the two largest rice producers, respectively. Nevertheless, the most productive authors reveal that Szurek B (a French scientist) ranks first with a staggering twenty articles. Three main research clusters were found that consisted of “antibacterial agents vs. bacterial disease,” “plant resistance and immunity mechanisms,” and “pathogen virulence and pathogenicity genes.” The study about resistance genes against disease became the most cited article. We concluded that there are several future insights, including “further investigation into the alternative antibacterial agent and their formulation,” “spatial distribution, severity, and prevalence of BLB in multiple conditions,” “the microbial community on plant leaves,” and “additional research to comprehend the mechanism of the microbial community in the rice rhizosphere.” In addition, research on the stability of plant resistance genes to anticipate changes in pathogen pathotypes will be an alternative topic.

  • Autor/es: Syahri, Renny Utami Somantri
  • Año de publicación: 2024
  • País: Indonesia
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Food uses, functional activities, and bioactive compounds of three Ecuadorian Vasconcellea fruits: Bibliometric analysis and review

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Vasconcellea, the most abundant genus within the Caricaceae family, encompasses twenty-one out of the 35 species in the family, predominantly found in Peru, Ecuador, and Colombia, where they are utilized for both culinary and medicinal purposes. This study investigates the research trends, patents, and nutritional and functional potential of three native Ecuadorian species in the genus: Vasconcellea stipulata V.M. Badillo (toronche), Vasconcellea pubescens (V.M. Badillo) (chamburo), and their natural hybrid Vasconcellea x pentagona V.M. Badillo (babaco). Utilizing bibliometric analysis via a Scopus dataset of 117 documents and sixteen unique patents through Patentscope. Our findings reveal V. pubescens as the most studied species, followed by V. x pentagona and V. stipulata, with scientific production primarily originating from Chile, Brazil, Ecuador, and the United States. Patents focus on V. pubescens, particularly in cultivation and applications of protease and alcohol acyltransferase enzymes. Gastronomically, these species find common usage in jams, juices, and preserves and ritual beverages, with limited innovation. Food technology uses are mainly meat tenderization and beer clarification. Rich in nutrients, all three species offer health and dietary benefits, accompanied by diverse functional activities including anticancer, anti-inflammatory, antioxidant, antiparasitic, and antiseptic properties. Thirty-seven bioactive compounds, including organic acids, carotenoids, esters, alkaloids, phenolic compounds, amino acids, isothiocyanates, alcohols, tocopherols, and phytosterols, were reported across the species. This study underscores the global and local economic, industrial, and health-related significance of Vasconcellea species, while also indicating directions for further research and exploration to realize their full potential.

  • Autor/es: Adriana Aguirre-Rodríguez, Rodrigo Duarte-Casar, Marlene Rojas-Le-Fort, Juan Carlos Romero-Benavides
  • Año de publicación: 2024
  • País: Ecuador
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Global quantitative analysis and visualization of big data and medical devices based on bibliometrics

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Background In the big data era, the healthcare sector grapples with increased data volumes and the push for more intelligent medical devices. This challenge is marked by data silos, higher data processing needs, and the quest for personalized medicine, emphasizing the importance of integrating and analyzing diverse big data from medical devices. This study employs bibliometric analysis to thoroughly analyze the research trends in big data and medical device research, aiming to identify key developments, patterns, and potential future directions in the field. Methods This study employed the Web of Science Core Collection, BIOSIS Citation Index, and Derwent Innovations Index for conducting keyword searches on ’big data’ and ’medical devices’, focusing on English-language articles, reviews, and patents, while excluding duplicates. Quantitative analyses and visualizations were facilitated using tools such as R 4.3.1, VOSviewer, CiteSpace, and Tableau. The research assessed the impact of journals and academic contributions through metrics like the impact factor and G-Index. Results Our analysis covered 592 articles and 795 patents. Notably, the annual growth rate of articles reached 62.19%, with the primary contributions originating from China, the United States, India, and England. Among the identified publications, “IEEE Access” emerged as the most prominent journal. The research identified key trends in the application of big data within medical devices, including the extensive use of artificial intelligence (AI), deep learning, Internet of Things (IoT) technologies, genomic data analysis, and bioinformatics. Case studies show how big data and medical device integration, exemplified by Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), and smart wearables, enhance diagnostic efficiency and care quality. The study further identified intensive care units, radiology departments, and oncology as key application departments leveraging this integration. Conclusion Big data and medical device integration have led to smart healthcare and personalized treatment, improving medical decision accuracy and inspiring new research directions. Future research efforts should explore the potential for incorporating even more expansive datasets and multilingual resources to further maximize the potential of this integration and advance medical technology in disease prevention, diagnosis, treatment, and management.

  • Autor/es: Xiaoyang Bai, Jiajia Duan, Bo Li, Shuaiqiang Fu, Wenjie Yin, Zhenwei Yang, Zhifeng Qu
  • Año de publicación: 2024
  • País: China
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Mapping the research landscape of nanoparticles and their use in denture base resins: a bibliometric analysis

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Background Nanoparticles are increasingly used in dentistry for various applications, including enhancing the mechanical properties of denture base resins. This study aimed to comprehensively review and analyze the research landscape of nanoparticles and their effect on the flexural strength of denture base resins to identify key research areas and trends and to highlight the importance of collaboration between authors and institutions. Methods A Bibliometric Analysis was conducted using the Keywords “Nanoparticle*” AND “Denture*” OR “CAD/CAM.” The literature search from the WOS database was restricted to the publication years 2011 to 2022. Results Key findings encompass an increase in research publications but a decline in citations. Saudi Arabia, China, and Iraq led this research, with specific institutions excelling. Notable journals with high impact factors were identified. Authorship patterns show variations in citation impact. Additionally, keyword analysis revealed that current research trends offer insights into influential authors and their networks. Conclusions The analysis of nanoparticles and denture base resins reveals a dynamic and evolving landscape that emphasizes the importance of collaboration, staying current with research trends, and conducting high-quality research in this ever-evolving domain.

  • Autor/es: Ravinder S. Saini, Shashit Shetty Bavabeedu, Syed Altafuddin Quadri, Vishwanath Gurumurthy, Masroor Ahmed Kanji, Abdulmajeed Okshah, Rayan Ibrahim H. Binduhayyim, Mario Alberto Alarcón-Sánchez, Seyed Ali Mosaddad, Artak Heboyan
  • Año de publicación: 2024
  • País: Arabia Saudita, México, India, Irán, Armenia
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Environmental Accounting and Sustainability: Bibliometric Analysis and Documentary Review of Scientific Production, Period 2015-2024

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The purpose was to describe global scientific and literary outputs, on different aspects around environmental accounting (EA) and sustainability in environmental, business and policy domains, between 2015 and 2024. This was achieved through a quantitative characterization of publications. The methodology used took as referent aspects for the analysis: focus, units, topics, country, authorship, citations and journals, these a descriptive and reflexive documentary study of the scientific literature, based on the collection of papers in Scopus and the use of VOSviewer. The materials were selected according to various criteria, including keywords such as “environmental accounting” and “sustainability”, limited to fields such as: business, management and accounting, during the period from 2015 to 2024. The result included the identification of 54 texts, with the years with the highest number of publications being 2015 with 25.8% and 2018 with 19.7% of the total number of documents. Regarding the approaches, a predominant orientation towards the qualitative paradigm was observed, with 70%, compared to the quantitative one, with 32%. The most common types were exploratory (65%), descriptive (20%) and correlational (3%). As for the units, the majority focused on inquiries in companies with 52%, divided between large companies (57%) and MSMEs (11%). In turn, the sectors most frequently observed were tertiary (48%), followed by secondary (34%) and primary (2%). The origin of most of the studies was the United States, the United Kingdom, Australia and Italy. Finally, the limitations found were mainly related to the methodological approach, the inclusion of only one database, which could have excluded relevant studies not indexed in this one.

  • Autor/es: Rafael Romero-Carazas, Juan Britman Vallejos Tafur, Alberto Miguel Vizcarra-Quiñonez, Miguel Ángel Melgarejo-Quijandria, Freddy Christopher Ochoa-Santos, Sonia Gladys Gutiérrez-Monzón
  • Año de publicación: 2024
  • País: Perú
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey

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Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this study, we conducted a bibliometric analysis of research and review articles generated between 1980 and 2023 from the Web of Science bibliometric data source, utilizing bibliometric methods through the R bibliometrix tool and VosViewer. Results: In the field of medical informatics research in Turkey, the country holds the 27th position with 905 articles, 15,610 citations, and an impressive impact factor of 51, along with an average citation rate of 17.25 per article, based on bibliometric analysis conducted between 1980 and 2023. Notable institutions in this field include Middle East Technical University, Hacettepe University, and Selçuk University. The prominent research topics encompass “neural network(s), machine learning, support vector, health care, decision support, deep learning, EEG signals, classification accuracy,” reflecting the areas of intensive investigation. Conclusion: In Turkey, the field of medical informatics has lagged slightly behind basic engineering sciences or medical sciences. The domain exhibits a multidisciplinary structure intersecting with various engineering fields such as computer science, software engineering, industrial engineering, artificial intelligence engineering, and electronic engineering. To enhance productivity in this field, greater collaboration with other research areas can be pursued. Additionally, it is recommended to urgently establish four-year undergraduate programs specifically dedicated to medical informatics or health informatics at universities.

  • Autor/es: Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol, Jiban K. Pal, Fatih Safa Erenay
  • Año de publicación: 2024
  • País: Canadá, Turquía, India
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Knowledge mapping of links between dendritic cells and allergic diseases: A bibliometric analysis (2004–2023)

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In this study, bibliometric analysis was carried out to comprehend the global research trends, hotspots, scientific frontiers, and output characteristics of the links between dendritic cells (DCs) and allergic diseases from 2004 to 2023. Publications and their recorded information were retrieved from the Web of Science Core Collection (WoSCC). VOSviewer and Citespace were used to visualize the hotspots and trends of research area. ChemBio 3D, Autodock tools, and Discovery Studio were used to visualize the molecular docking results of hotspots. A total of 4861 articles were retrieved. The number of publications (Np) was in a high and stable state. Years 2011 and 2017 were two peaks in Np. The largest contributor in terms of publications, scholars, and affiliations was the USA. The paper published in NATURE MEDICINE (IF: 82.9) and written by Trompette, A in 2006 had the highest global citation score (GCS). Keywords, such as “asthma,” “t-cells,” “inflammation,” “expression,” “atopic dermatitis,” “food allergy,” “gut microbiota,” “murine model,” and “cytokines related to immunity” appeared the most frequently. Most of the binding free energy of the key active components of Saposhnikovia divaricata docked with toll-like receptor proteins well. This bibliometric study aimed to help better comprehend the present state and make decisions from a macro viewpoint.

  • Autor/es: Xianghe Meng, Yi Wang, Zhuqing Li, Fan Yang, Ji Wang
  • Año de publicación: 2024
  • País: China
  • Idioma: Inglés
  • Fuente de indexación: Scopus

A bibliometric review on marine ecological environment governance: Development and prospects (1990–2022)

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Marine ecological environmental management constitutes a fundamental pillar in the establishment of a comprehensive worldwide marine governance framework. Employing bibliometric methodologies, this article systematically explores and explicates the developmental history and prevailing focal points of research pertaining to marine ecological environmental governance spanning the period from 1990 to 2022. The findings of this study unveil an exponential surge in the publication of relevant literature since 2013. Notably, the majority of these research has been disseminated through high-impact journals such as Ecological Indicators, Science of the Total Environment and Marine Pollution Bulletin. Throughout the past three decades, the global pursuit of marine ecological environmental governance has evolved from an initial emphasis on pollution sources to the protection of ecosystems, subsequently including global environmental concerns, thus embracing problem-oriented and comprehensive solutions. The results of this study demonstrate that the present focal points predominantly revolve around the implications of microplastic pollution on marine sediments, the mechanisms underlying the restoration of marine ecosystems in nature reserves, as well as the analysis of factors driving environmental changes and the formulation of corresponding response strategies. Finally, this article proffers a number of recommendations and perspectives for future research in global marine ecological environmental governance.

  • Autor/es: Yongbo Quan, Jilan Jin
  • Año de publicación: 2024
  • País: China
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Perspective on the human dimension in energy modelling: Structural analysis

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The complex and diffuse nature of the human dimension makes it difficult to identify and integrate into energy modelling. The human dimension concept in energy modelling has resulted in a broad spectrum with different nuances and meanings that have been used interchangeably, which could lead to misperceptions and misunderstandings. This study combines a set of methodologies to reflect aspects of the human dimension in energy modelling systematically. The selected methods include structural analysis, word clouds and co-occurrence networks based on bibliometric information. Recent research efforts have centred on identifying and characterising the factors of the human dimension. As a result, the human dimension in energy modelling is conceptualised by variables that encompass instead of having a comprehensive framework. The more closed concept to the human dimension in energy modelling is development; together with the current state around demand, they can serve as a reference framework or a bridge to integrating variables of the human dimension with the technical and financial aspects of recent energy models.

  • Autor/es: Juan Felipe Parra, Yris Olaya, Santiago Arango-Aramburo
  • Año de publicación: 2024
  • País: Colombia
  • Idioma: Inglés
  • Fuente de indexación: Scopus

Artificial intelligence in education: A systematic literature review

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Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature with diverse perspectives. In this review paper, we seek insights into three critical questions: (1) What are the primary categories of AI applications explored in the education field? (2) What are the predominant research topics and their key findings? (3) What is the status of major research design elements, including guiding theories, methodologies, and research contexts? A bibliometric analysis of 2,223 research articles followed by a content analysis of selected 125 papers reveals a comprehensive conceptual structure of the existing literature. The extant AIED research spans a wide spectrum of applications, encompassing those for adaptive learning and personalized tutoring, intelligent assessment and management, profiling and prediction, and emerging products. Research topics delve into both the technical design of education systems and the examination of the adoption, impacts, and challenges associated with AIED. Furthermore, this review highlights the diverse range of theories applied in the AIED literature, the multidisciplinary nature of publication venues, and underexplored research areas. In sum, this research offers valuable insights for interested scholars to comprehend the current state of AIED research and identify future research opportunities in this dynamic field.

  • Autor/es: Shan Wang, Fang Wang, Zhen Zhu, Jingxuan Wang, Tam Tran, Zhao Du
  • Año de publicación: 2024
  • País: Canadá, China
  • Idioma: Inglés
  • Fuente de indexación: Scopus
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