Mapping Of Trends Research Articles

Bibliometric Analysis of Spline Regression Model for Trend Mapping and Strategy Development Research Using Vosviewer

Bibliometric analysis is a quantitative method used to measure and analyze scientific literature. This technique involves the collection and analysis of publication data, such as journal articles, books, and conferences, to evaluate and understand patterns of scientific communication, research productivity, author collaboration, journal impact, and trends within a scientific field. Bibliometric analysis has a limitation in that it is challenging to visualize effectively, necessitating the use of software for proper visualization. Therefore, this article discusses bibliometric analysis on spline regression for trend mapping and strategy development using VOSviewer software. The research results show that the visualization of spline regression keywords with VOSviewer can help in understanding patterns of relationships between variables, research trends, and network structures in scientific literature. Based on the analysis results, bibliometric analysis on spline regression can be visualized in trend mapping, which can aid in planning further research strategies, including identifying collaboration opportunities and underexplored research areas.

Global Research Trends on Factors Affecting Patient Satisfaction Levels in Hospital Inpatient Wards: A Bibliometric Analysis

ABSTRACT Research on patient satisfaction in hospital inpatient rooms is one of the main focuses in efforts to improve the quality of health services. Understanding the factors that influence patient satisfaction is crucial for policy makers and healthcare practitioners. Although various studies have been conducted, the global map of this research trend is still not clearly depicted. This study aims to fill this gap by conducting a bibliometric analysis of the literature related to patient satisfaction in hospitals, using a visualization approach to provide deeper insights into the dynamics of research in this area. The method used involved data collection of scholarly articles from 2014 to 2024 using Google Scholar's Publish or Perish application. A total of 50 articles were selected based on relevance to keywords such as Patient Satisfaction, Inpatient Room, Satisfaction Factors, Hospital, and Health Services. This data was then analyzed using VOSviewer to visualize the relationship between various elements in the literature through network visualization, overlay visualization, and density visualization. This approach mapped research trends, identified key clusters, and showed collaboration patterns and dominant topics. The results show that service quality and patient satisfaction are the main focus in the literature. Research clusters showed significant attention to basic aspects of healthcare such as hospital care and facilities, while demographic aspects and specific determinants were less explored. Citation analysis showed that articles providing comprehensive reviews or practical models received more attention. In addition, the density visualization revealed the dominance of quality of care aspects, but also showed the potential for further research on topics such as technological innovation and the impact of health policy. The conclusions of this study show that although much research has been conducted, there are still significant research gaps that can be further explored. This study maps global trends in patient satisfaction studies, and provides guidance for researchers to focus on less explored areas, thereby contributing to the improvement of healthcare quality in hospitals. Keywords: Patient Satisfaction, Service Quality, Hospital, Bibliometric Analysis.

Generative AI in Science Education: A Learning Revolution or a Threat to Academic Integrity? A Bibliometric Analysis

The integration of generative artificial intelligence (AI) in Science, Technology, Engineering, and Mathematics (STEM) education presents transformative opportunities alongside significant challenges. This study investigates the dual impact of generative AI on STEM learning outcomes and academic integrity through a comprehensive bibliometric analysis employing co-citation, keyword analysis, and trend mapping. The results reveal that AI tools such as ChatGPT have revolutionized personalized learning by offering tailored feedback, enhancing critical thinking, and improving student engagement. However, these advancements are tempered by concerns over academic misconduct, particularly plagiarism, and the erosion of essential cognitive skills due to overreliance on AI-generated content. Ethical considerations remain critical, necessitating the development of robust policies and ethical frameworks to safeguard academic integrity. Beyond educational settings, the findings suggest broader applicability to professional training and skills development, as the benefits and challenges of AI extend beyond coursework. This research provides valuable insights for educators, policymakers, and researchers, advocating for a balanced approach to AI integration that maximizes its potential while preserving educational standards.

Knowledge mapping and visualization of trends in immunotherapy for ovarian cancer over the past five years: a bibliometric analysis.

This study conducts a bibliometric literature analysis to explore trends in immunotherapy for ovarian cancer from 2019 to 2023. An extensive online literature search was conducted in the Web of Science Core Collection database to identify English-language articles and reviews related to "trends in immunotherapy", and "ovarian cancer". statistical analysis was performed using VOSviewer to visualize and compare nations, institutions, and journals simultaneously. Our findings highlight contributions by 118 nations, led by the People's Republic of China with 3,167 contributions; Germany followed with 558 and Italy having 547. Of all publications made between 2019-2023, "Frontiers Immunology" had the most publications with 546 total records followed by "cancers ", and "frontiers in oncology" being the most heavily relied upon categories. Annually publication trends increased until 2022 but then declined considerably as a peak of highly-cited papers occurring between 2019 and 2022. Our bibliometric analysis not only maps the evolution of immunotherapy research in ovarian cancer but also provides actionable insights for advancing scientific progress. By identifying emerging trends and key areas, future research can strategically enhance treatment strategies and outcomes for ovarian cancer patients.

Bibliometric Analysis and Ecological Challenges in the Era of Climate Change for Seagrass Conservation Research in Indonesia

Seagrass ecosystems in Indonesia provide essential ecological services, including carbon sequestration, marine biodiversity support, and coastal protection. However, these ecosystems face significant threats from human activities, climate change, and pollution. This study was conducted due to the lack of comprehensive analysis on seagrass conservation research trends in Indonesia, aiming to address this gap and provide insights that can enhance conservation strategies. This study utilizes bibliometric analysis to examine research trends in seagrass conservation in Indonesia from 2007 to 2024, identifying 118 publications with an annual growth rate of 18.53%. Key research topics include biodiversity conservation, seagrass roles in climate change mitigation, and the management of protected areas. This analysis highlights the need to address research gaps, such as limited studies on community-based conservation approaches and the impact of local policies on seagrass management. The findings indicate a growing awareness of seagrass functions, such as carbon storage and support for fisheries, but highlight ongoing challenges related to limited financial resources and public awareness. By applying bibliometric analysis, this study provides a crucial tool for evidence-based decision-making, enabling more targeted and effective conservation policies. Community perceptions and participation, especially through community-based conservation initiatives, are crucial for the success of seagrass conservation efforts. This study uniquely contributes to the field by offering a clear map of research trends and gaps, guiding future research and policy to more effectively address seagrass conservation challenges in Indonesia. The study emphasizes the need for adaptive management strategies and collaboration among stakeholders to overcome the challenges of seagrass conservation in Indonesia.

A Review of Conventional and Environmentally Sustainable Glitter

ABSTRACTPlastics offer several benefits, such as durability, versatility, and cost‐effectiveness, which have led to their pervasive use in nearly every aspect of modern life. However, their widespread use has led to significant environmental concerns. One of the major issues is their persistence in the environment, where they accumulate and cause contamination. This problem is particularly severe with plastic packaging and microparticles used in cosmetic products. As a result, the cosmetics industry started producing environmentally sustainable glitter. “Biodegradable” glitter is available in distinct compositions, mainly with a central base composed of a biodegradable material. This review focuses on academic research and patents related to glitter and biodegradable glitter, aiming to classify and compare commercially available options. Furthermore, this review analyzes scientific research on conventional glitter and its conclusions regarding environmental impact. For this, we used the keywords “glitter,” “biodegradable glitter,” “eco‐friendly glitter,” “natural glitter,” and “sustainable glitter” in the databases of Wiley, Science Direct, Springer, and Clarivate Analytics ISI—Web of Science. We also performed a bibliometric analysis using the keyword “glitter” in the Web of Science database to obtain a bibliometric map of publication trends in the field using VOSviewer software. The products identified in the search were analyzed for their components and biodegradation potential. These products were classified as “biodegradable” if they were composed entirely of biodegradable constituents and as “eco‐friendly” if only a portion of their constituents was biodegradable. We observed that several glitter products are incorrectly classified as biodegradable, demonstrating the need for standardized terminology that accurately reflects the composition of the glitter particles. Patent applications indicate a growing interest in developing environmentally safe glitter particles in recent years. Studies on conventional glitter mainly focus on its environmental impact or discuss analyzes for the identification and classification of glitter particles. The data gathered highlight the gaps in the field, mainly related to glitter production methods and the standardization of biodegradable glitter. Thus, studies in this direction are highly necessary.

Mapping of Latest Methods and Trends in K3 Emergency Response on Toll Roads: Literature Review

As the industrial era develops around the world, the government is rapidly developing infrastructure including toll roads. The construction industry, which provides construction services, plays an important role in this development. Toll roads are dangerous workplaces and the risk of occupational injuries is high. Workplace accidents can result in property loss, death, and delays in the production process. The management of occupational safety and health (OHS) on toll roads is a major concern to prevent industrial accidents and increase productivity. The management of occupational safety and health (OHS) on toll roads is a major concern to prevent industrial accidents and increase productivity. However, in the face of OHS emergencies on toll roads,. However, in dealing with OHS emergencies on toll roads, there is a gap between expectations and the actual situation. This research maps the latest methods and trends in Occupational Safety and Health (OHS) emergency response on toll roads through a literature review. The results show that the application of real-time monitoring technology and predictive analytics significantly improves the effectiveness of OHS emergency response. These technologies enable early detection and rapid response to incidents and help identify potential hazards and assess risks more accurately, allowing for more targeted preventive measures.

Enhancing Microkinetic Modeling for CO2 Reduction Reaction: Integrating Electrolyte Effects

In the current landscape of escalating global environmental challenges, the development of sustainable energy solutions has become increasingly critical. A pivotal area in this endeavor is the carbon dioxide reduction reaction (CO2RR) technology, which holds the promise of converting CO2, a major greenhouse gas, into valuable chemicals and fuels. The intricate nature of CO2RR, characterized by complex reaction pathways and a plethora of intermediates, presents significant scientific and engineering challenges. Key to surmounting these challenges is the accurate and comprehensive modeling of CO2RR processes. However, traditional computational models often overlook a crucial aspect – the influence of electrolyte interactions with CO2RR intermediates. This omission leads to models that inadequately capture the true dynamics of the electrochemical environment, resulting in less accurate predictions. In this work, we introduce CatEnergy, a Python module that enhances our existing microkinetic modeling tool, CatMAP[1], focusing on CO2RR. CatEnergy specifically addresses the complexity of CO2RR by integrating electrolyte interaction data. This integration enables a more accurate representation of the electrochemical environment, improving the predictive power and efficacy of CO2RR models. By generating essential electrolyte interaction data for microkinetic modeling, it facilitates more effective catalyst design and optimization of reaction conditions. This development is key in advancing the accuracy of microkinetic modeling for CO2RR and underscores our commitment to sophisticated tool development in sustainable energy research. [1] Medford, A. J. et al. CatMAP: A Software Package for Descriptor-Based Microkinetic Mapping of Catalytic Trends. Catal. Lett. 145, 794–807 (2015).

Spatial and temporal trend analysis of temperature extremes in Tanzania

This study examines the effects of extreme temperature events, defined explicitly as the 98th percentile temperature for heat, in Tanzania from 1981 to 2023. The study utilises percentile analysis, z-score calculations, and trend mapping to highlight the prevalence of extreme temperatures. The z-score analysis examines the occurrence of extreme temperatures and their distribution in terms of frequency and space. It identified Tanzania’s mid-eastern and north-western regions as areas with a high concentration of extreme temperatures over the previous 43 years. The study analyses the length of extreme occurrences and reveals changing patterns. In 2020, the events were shorter, while in 2021 and 2022, they became longer-lasting, and there was a notable concentration of extended anomalies near the northern coastline. In 2023, the highest temperatures ever recorded were observed, with more than half of the regions seeing prolonged periods of extreme temperatures lasting for a week and significant deviations from the norm staying for four weeks or more. This was particularly notable in the southern regions of Lindi and Mtwara. The harmonic trend analysis of temperature shows an upward temperature trend noticeably in regions such as Arusha, Kilimanjaro, Kagera, Morogoro, Simiyu, and Shinyanga and is somewhat inconspicuous in most areas.

Detección de posibles zonas desertificadas usando serie y mapa de tendencia del NDVI estimado por sensor AVHRR de satélites NOAA (1982-2019)

The present work we report the detection of possible desertification zones through the series and trend map of NDVI and VCI from the AVHRR sensor of the NOAA satellite series for the period from 1982 to 2019. The data used were acquired from the CLASS/NOAA portal, level 1b, have a spatial resolution of 1 km and temporal resolution of 12 hours. Processing algorithms were developed to estimate monthly NDVI and VCI. Seven possible desertification zones were identified by elaborating series and decadal trend maps of the VCI, in which five zones were located in the coastal region, specifically in the limits of agricultural zones, where the zones with the highest negative decadal trend were Piura (-0.29 dec-1), Chiclayo (-0.36 dec-1) and Chicama (-0.27 dec-1) during the period from 1997 to 2006 while, in the jungle region, the highest negative trend was recorded in Huepetuhe, district of Madre de Dios with a value of -0.25 dec-1 in the period from 2007 to 2018. It is proposed that, among the possible desertified areas, the areas in the coastal region (Piura, Chiclayo, Chicama, Pisco and Majes) were generated by intensive agriculture while, the possible desertification of the areas of Pucallpa and Huepetuhe were generated by urban expansion.

Bibliometric Analysis and Knowledge Mapping of Research Trends in Brugada Syndrome

Background: Brugada Syndrome (BrS) has been extensively studied over the last 30 years, warranting a review of its research landscape, including prevalent themes and potential future directions. Objective: By employing bibliometric analysis, this work seeks to map the current state and trajectory of BrS research, highlighting key contributors and unexplored areas while suggesting avenues for future studies which could propel the field forward. Methods: This paper analyzed BrS-related articles from 1992 to 2023, extracted from the Web of Science core collection, using tools like CiteSpace, VOSviewer, Pajek, and Scimago Graphica to examine research output, geographies, authors, affiliations, keywords, and citation patterns. Results: Out of 3,713 BrS publications, the US has been the most prolific, with the Netherlands producing the highest caliber work, and China ranking fourth in output. The University of Amsterdam emerged as the leading institution. Pedro Brugada topped the author list. The journal Circulation led in citations, with an impact factor of 37.8, indicative of its JCR Q1 status and elite ranking. Keyword analysis revealed ‘Brugada syndrome’ (2756), ‘Sudden death’ (1387), and ‘St-segment elevation’ (1200) as common terms, with ‘Management,’ ‘Guidelines,’ ‘Consensus conference,’ and ‘Genetics’ as up-and-coming topics. Conclusions: Stable research funding and publication rates indicate a mature phase for BrS research, with genomics, proteomics, biomarkers, clinical prediction models, and gene therapy poised as future focal points.

Evaluation of regional comprehensive development efficiency under low-carbon policy: based on optimized DDF-GML combined with unsupervised clustering method

In the study of urban development, it is very important to evaluate the influence of production factors reasonably and efficiently for the region to achieve efficient development. The principal aim of this investigation is to amalgamate the conventional measurement model characterized by robust interpretability with the non-parametric model characterized by limited interpretability, thereby enhancing the precision of research outcomes. Towards this objective, the study employs an optimized directional distance function integrated with a global Malmquist–Luenberger index to formulate a comprehensive total factor productivity measurement framework. In elucidating the homogeneous attributes of regions, departing from prior methodologies reliant on manual or direct algorithmic partitioning, this paper employs the K-means clustering algorithm for index discernment, abstracting the concept of K-means clustering centroids to encapsulate regional homogeneity, thereby delineating results through the visualization of regional development potential maps and the evolution of centroid-based clustering trend maps. The findings of the investigation illuminate common patterns of change across disparate regions, proposing a strategy for leveraging regional resource endowments towards a cohesive framework, thereby transcending constraints imposed by production efficiency limitations. Amidst the backdrop of the COVID-19 pandemic, this study draws upon provincial-level data spanning from 2000 to 2018 in China. The conclusive analytical outcomes underscore the pivotal role of energy factors in regional development efficiency, particularly within high-potential development regions, followed by the capital and labor factors. Concurrently, the study discerns a discernible hierarchical pattern among areas of development potential, which exhibits correlation with factor mobility dynamics.

Medical tourism in South East Asia: science mapping of present and future trends

Medical tourism in South East Asia: science mapping of present and future trends

Motherhood and consumption: A systematic review and directions for future research

AbstractThis article presents a hybrid literature review on the relationship between motherhood and consumption, encompassing academic research in Business, Management, and Cultural Studies that investigates mothers as consumers and the reciprocal influence between mothers and other actors in family consumption dynamics. Bibliometric research was conducted on 175 articles indexed on the Web of Science using the SPAR‐4‐SLR protocol. It included performance analysis, intellectual and conceptual structure of the field, an evolutionary overview of publications, and a map of trends. Moreover, from the systematic review, a new framework, PTCCM, is proposed to identify the publications' widely used perspectives, theories, constructs, characteristics, and methods. The findings reveal nine major perspectives on motherhood and consumption: consumer socialization and intergenerational influence, consumption and identity, vulnerabilities and public policies, consumption and liminality, influences of children on family consumption, maternal practices, decision‐making and consumption process, gender studies, and advertising. Based on the identified gaps, thematic, theoretical, contextual, and methodological suggestions for future work are presented. This systematic review provides a map for academics and professionals interested in consumption in the context of motherhood, offering a comprehensive overview of the state‐of‐the‐art and research agenda.

Analysing Bibliometrics Trends: The Flipped Classroom Approach in Foreign Language Learning

This study aimed to investigate the adoption of the FC model for EFL learning. It considers research articles in the various journals and databases with ORCHID and Crossref indices between 2019 and 2023. Data analysis, for research trend mapping comparatively, used Vosviewer. This included especially recognizing the keywords that are in use nowadays, the articles and journals that are most cited, and the countries and institutions that are most influential. The result presented some interesting issues as follows.1) the countries with the highest link of collaborations were Malaysia, Iran, China, and Indonesia, while the most cited countries were Indonesia, Iran, China, Turkey and Malaysia. 2) The most used keywords in research on FC in EFL learning formed into four clusters. The most strength links were ‘flipped classroom’, ‘flipped learning’, ‘pedagogy’, ‘foreign language learning’, ‘COVID’ and ‘autonomous learning’. 3) The most used words in titles and abstracts form into 3 clusters with 'effect', 'perception', 'challenge', and 'COVID' being the most strength links 4) The most referenced authors include Zainuddin with 76 citations from 6 articles, Abdullah with 62 citations from 2 articles and Öztürk with 50 citations from 2 articles. 6) the most cited journals were the International Journal of Emerging Technologies in Learning (IJET).

Halal certification in food products: science mapping of present and future trends

Purpose This study aims to evaluate the knowledge structure of halal certification in food and beverages. The growth of the Muslim population and the expanding economic activities among the Muslim community have necessitated extensive and comprehensive halal certification, particularly in food and beverage products. Design/methodology/approach Through a science mapping approach, this study explores the knowledge structure based on past publications in food and beverages and its association with halal certification, logos and brands. Applying bibliographic coupling and co-word analysis, the present and future trends of halal certification in food and beverages are explored by presenting a network visualization to present the underlying themes and research streams. Findings The main finding from recent and emerging themes shows that the pivotal perspective is increasing consumers’ knowledge and awareness of halal-certified food products. Future trends stemming from the co-word analysis suggest the importance of exploring consumer halal food product determinants. Originality/value This study is relevant to stakeholders, scholars and practitioners, particularly in disseminating information and voice on the importance of halal-certified food products that are recognized as having better quality and contributing to environmental sustainability.

Trend Map: A Bibliometric Exploration of the Utilization of Chemical Education Bulletins in the Digital Age

Trend Map: A Bibliometric Exploration of the Utilization of Chemical Education Bulletins in the Digital Age

Integrated transcriptomics and metabolomics study of embryonic breast muscle of Jiaji ducks

Because number of matured muscle fibers in poultry does not increase after birth, the meat yield is mainly determined during embryogenesis. We previously indicated breast muscle grew rapidly from 18th day after hatching (E18) to E27, and almost stopped from E27 to E34 of Jiaji ducks, while the mechanism is unclear. This study utilized RNA-seq to explore the related genes of muscle development and their relationship with small molecule metabolites at E18, E27 and E34 of Jiaji ducks. Several thousand differentially expressed genes (DEGs) were detected among E18, E27 and E34. DEGs expression profiles included 8 trend maps, among which trend 1 was opposite to and trend 6 was consistent with breast muscle development trend of Jiaji ducks. Through joint analysis between trend 1 of DEGs and trend 1 of differential metabolites (DEMs), protein digestion and absorption pathway stood out. The decrease of COL8A2 gene expression will lead to the decrease of arginine content, which will inhibit the development of breast muscle in embryonic Jiaji duck. Similarly, joint analysis between trend 6 of DEGs and trend 6 of DEMs indicated the increase of GAMT gene expression will cause the increase of proline content, and then promote the development of breast muscle of Jiaji duck in embryonic period. These results will be helpful for further understanding the mechanism of muscle yields of Jiaji ducks.

Overview, Trends and Mapping of The Scientific Production on Childhood Tuberculosis: A Scientometric Study

Background: Tuberculosis in children is highly prevalent and is considered community transmission by an infected adult. This study analyzed childhood tuberculosis literature from 2018 to 2023 on Scopus. Methodology: The study was an observational, retrospective design with a bibliometric approach focusing on the scientific production on childhood tuberculosis. A trend analysis and mapping of the literature published in Scopus was performed. The following selection criteria were applied: All types of papers published in Scopus during the study period were included. Papers published between 2018 and 2023 were included. Papers had to be focused on childhood tuberculosis. Results: Antoni Diez Noguera-Julián from SJD Barcelona Children’s Hospital had a field-weighted citation impact of 10.89. Anneke Catharina Hesseling and James Alexander Seddon had the highest output. The University of Melbourne and the University of Barcelona had high field-weighted citation impacts. Despite the United States’ high production, Spain and Australia showed significant influence. The “International Journal of Tuberculosis and Lung Disease” led in production. Conclusions: A bibliometric study on childhood tuberculosis literature from 2018-2023 highlighted Antoni Diez Noguera-Julián’s significant citation impact and the high output of Anneke Catharina Hesseling and James Alexander Seddon. Despite the U.S.'s high production, Spain and Australia showed significant influence.

An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes

Ecological stability (ES) is recognized as a crucial factor for sustainable development at global and regional scales. However, the importance of this factor was not considered significant. Hence, the main aim of this study was to introduce a new approach that focuses on detecting ES over the Maharloo watershed in Iran. To achieve this goal, we extracted land use and land cover (LULC) data from the Google Earth Engine (GEE) platform by applying the random forest (RF) machine learning method, which obtained Kappa statistics of 0.85, 0.86, and 0.87 for the years 2002, 2013, and 2023, respectively. We identified both stable and unstable regions based on LULC changes and employed them using machine learning to forecast the ES. The most important predictors of ES were elevation, soil organic carbon index, precipitation, and salinity. The results of this research revealed that certain areas within the Maharloo watershed have experienced ecological instability in recent years, with gardens showing the highest percentage (60.65 %) of instability among all land-use categories. The performance and validation of our model suggest that the study results are reliable (AUC = 0.86). This study offers detailed maps of ES and trends, offering valuable insights for decision makers to support landscape conservation and restoration efforts. Overall, the findings contribute to a more comprehensive understanding of the ecological dynamics of the Maharloo watershed and provide valuable insights for sustainable development and conservation efforts in other regions.