Producción Científica

 

 

Background Psoriasis is a chronic, inflammatory skin disease with autoimmune characteristics. Recent research has made significant progress in the field of psoriasis metabolomics. However, there is a lack of bibliometric analysis on metabolomics of psoriasis. The objective of this study is to utilize bibliometrics to present a comprehensive understanding of the knowledge structure and research hotspots in psoriasis within the field of metabolomics. Methods We conducted a bibliometric analysis by searching the Web of Science Core Collection database for publications on metabolomics in psoriasis from 2011 to 2024. To perform this analysis, we utilized tools such as VOSviewers, CiteSpace, and the R package “bibliometrix”. Results A total of 307 articles from 47 countries, with the United States and China leading the way, were included in the analysis. The publications focusing on metabolomics in psoriasis have shown a steady year-on-year growth. The Medical University of Bialystok is the main research institution. The International Journal of Molecular Sciences emerges as the prominent journal in the field, while the Journal of Investigative Dermatology stands out as the highly co-cited publication. A total of 2029 authors contributed to these publications, with Skrzydlewska Elzbieta, Baran Anna, Flisiak Iwona, Murakami Makoto being the most prolific contributors. Notably, Armstrong April W. received the highest co-citation. Investigating the mechanisms of metabolomics in the onset and progression of psoriasis, as well as exploring therapeutic strategies, represents the primary focus of this research area. Emerging research hotspots encompass inflammation, lipid metabolism, biomarker, metabolic syndrome, obesity, and arthritis. Conclusion The results of this study indicate that metabolism-related research is thriving in psoriasis, with a focus on the investigation of metabolic targets and interventions within the metabolic processes. Metabolism is expected to be a hot topic in future psoriasis research.

 

 

Climate change (CC) is a global issue, with effects felt across nations, including India. The influences of CC, such as rising temperatures, irregular rainfall, and extreme weather events, have a direct impact on agricultural productivity, thereby affecting food security, income, livelihoods, and overall population health. This study aims to identify trends, patterns, and common themes in research on Climate Change and Resilience, Adaptation, and Sustainability of Agriculture in India (CCRASAI). It also seeks to illuminate potential future research directions to guide subsequent research and policy initiatives. The adverse impacts of CC could push farmers into poverty and undernourishment, underscoring the imperative to focus on the resilience, adaptation, and sustainability of agriculture in India. A bibliometric review was conducted using Biblioshiny and VoSviewer software to analyze 572 articles focused on CCRASAI from the Scopus and Web of Science databases, published between 1994 and 2022. There was an evident upward trend in CCRASAI publications during this period, with steady growth appearing after 2007. Among the States and Union Territories, Delhi, Tamil Nadu, West Bengal, Andhra Pradesh, and Karnataka have the highest number of published research articles. Research on CCRASAI is most concentrated in the southern plateau, the trans-Gangetic and middle Gangetic plains, and the Himalayan regions. The frequently used terms—’climate change impacts,’ ‘adaptation strategies,’ and ‘sustainable agriculture’—in CCRASAI research emphasize the focus on analyzing the effects of CC, creating adaptation strategies, and promoting sustainable agricultural practices.

 

 

Multi-product biorefineries are up-and-coming industries to diversify the economy of countries since they have a productive matrix with a biological characteristic capable of processing various types of biomass with applications in pharmaceutical, renewable energy, and other industries. In this context, this research analyzes the literature on biorefineries and the methods of assessing social impacts that consider quality of life, employment, and stakeholders, among other metrics, as guided by the United Nations—UN. A systematic review combined with bibliometric, semantic, and content analysis was carried out by searching scientific documents in the Scopus and Web of Science databases. A total of 116 articles were located, of which three researchers selected twenty-three to compose the research. The Fleiss Kappa Index was applied to verify the agreement of the evaluators’ decision regarding the inclusion and exclusion of articles, whose result was K = 0.43 above the tolerable limit defined for the inclusion of articles, which is K ≥ 0.21. Therefore, all twenty-three articles were included. The results indicate that authors showed greater interest in the topic of this research in the period from 2017 to 2019, representing 70% of the total scientific findings in the reviewed literature. It was observed that the types of research that predominate in the studies are empirical, with 52% of the articles. The qualitative approach, however, obtained a variation of 400% in the studied period. Another important fact is that 93% of all authors published only 1, and not 61% as expected by Lotka law. Social impact studies show greater adherence to second-generation lignocellulosic biorefineries, which use the fractionation of inedible materials and projects whose methods consider Social Life Cycle and Multicriteria are more consistent for assessing the social impacts of biorefineries, as they allow an analysis of qualitative and quantitative information.

 

 

Agile software development has reached wide adoption in various countries including Turkey, even though from which its original cultural backgrounds differ. In Turkey, many organizations have started to adopt Agile approaches more and more in their software development processes. This interest in the country’s software development is parallel to what the academic literature on Agile in the country exhibits. However, despite the prevalence of Agile in Turkey, there is a lack of sufficient secondary research and comprehensive review on Agile in Turkey, which poses a significant necessity for further investigation. Considering this gap, we performed a quantitative bibliometric analysis of Agile software development publications produced by Turkish organizations in a holistic and broad approach both for scholars and practitioners. We provide a summary of relevant academic studies that emerged in Agile research in Turkey by focusing on many aspects including bibliometric properties of papers, researchers, affiliations, venues, and thematic contents that are separated into 15 sub-research questions. After delivering results based on the questions, we discuss the results and findings of our study and present implications regarding the findings. The main contributions of our work are twofold. First, the paper may help the readers to have a quick idea, understand the subject, and gain insight from a large volume of scientific data. Second, the paper can help readers to use these analyses to form future research.

 

 

Despite numerous reviews of space syntax research, there has been little emphasis on the field’s main characteristics and tendencies, including publication trends, geographical distribution, leading authors and institutions, collaboration networks, influential publications, research fronts, and research gaps. Bibliometric analysis techniques were employed to review nearly five decades of publications (1976–2023) drawn from multiple data sources to assess the field’s annual trend of publications; its social, intellectual, and conceptual structures; and future research directions. The findings provide an overview of the landscape of space syntax studies and a valuable reference for a wide range of academics and professionals.

 

 

Objectives Among different renal replacement therapies (RRTs), peritoneal dialysis (PD) is a family based treatment method with multiple advantages, which allowing patients to maintain autonomy, avoiding frequent hospital visits, and preventing the spread of the disease virus. To visually analyze the literatures related to volume management of PD patients through bibliometric methods, to explore research hotspots and development trends in this field. Methods The relevant literatures of PD patient volume management in the Web of Science core collection database were retrieved with the terms of peritoneal dialysis, volume management, capacity management, fluid status, and volume overload. The retrieval time was from the establishment of the database to October 2022. CiteSpace 6.1.R3 software was used to visually analyze Country, Institution, Author, Keyword, and draw keyword clusters and keyword emergence maps. Results A total of 788 articles were included in the analysis, and the annual number of papers was on the rise, with the American, China, and Brirain in the top three, and Peking University and University College London in the top. Keywords cluster analysis showed 11 clusters. In the keyword emergence analysis, the keywords with higher emergence intensity rank are continuous cyclic peritoneal dialysis, ambulatory peritoneal dialysis, and icodextrin. The current research hotspots and trends are in the evaluation of peritoneal dialysis patients’ volume status, the selection and adjustment of dialysis prescriptions, and adverse health outcomes. Conclusion The research on peritoneal dialysis volume management in China started late, but it has developed rapidly, and has a firm grasp of current research hotspots. However, there is less cooperation with other countries, so international exchanges and cooperation should be strengthened. At present, the volume assessment methods and dialysis modes are still the research hotspots, paying more attention to the adverse health outcomes of patients.

 

 

Translational regulation plays the most critical role in gene expression. Ribosome profiling sequencing (Ribo-Seq) is one of the methods to study translation and its regulation. It is a high throughput technology based on deep sequencing, which targets ribosome protected mRNA fragments to produce a ‘global snapshot’ of translatome. There has been an annual increase in the number of publications incorporating Ribo-seq technology. Because of its importance, we used PubMed database to conduct a comprehensive bibliometric analysis on Ribo-seq. We identified 2744 published articles that utilized the term ‘Ribo-seq’ between 2009 and Jan 2024, and 684 articles that contained both Ribo-seq and RNA-seq terms. Based on keywords correlation analysis, we discovered that the primary focus of Ribo-seq articles lies in the areas of translation, transcriptome, and ribosome in the past few years and other topics such as single-cell ribo-seq and crispr within two years, reflecting current areas of interests in Ribo-seq research. The Ribo-seq data analysis applications were also explored and summarized, providing a guide for researchers to choose corresponding tools for different types of analysis. Overall, we highlighted the advances made by Ribo-seq technologies, and the possibilities of utilizing machine learning models to unravel information from multi-omics data. The integration of Ribo-seq with other omics data, such as RNA-seq, is essential to understand the gene expression in complex biological systems.

 

 

Attachment theory is a key paradigm for understanding individual differences for the elaboration of the grieving processes, however limited attempts to systematically synthesize are found on the literature. Our aim is to conduct a bibliometric analysis about the relationship between complicated grief and attachment over the past twenty years. A bibliographic search was made in the Core Collection of Web of Science, the bibliometric analysis was performed using the software Hiscite version 2010.12.6, and VosViewer were used for the construction of bibliometric maps. Results show 276 publications from 2003 until 2023 from 789 authors, published in 143 scientific journals. The field presents a regular increase and sustained number of publications. The topics most researched were bereavement, complicated grief and attachment, and since 2018 has been increased interest in prolonged grief disorder. In conclusion, this bibliometric analysis contributes to the understanding of the current state of this topic and its evolution, being relevant to consider attachment style in bereavement interventions.

 

 

Research on teacher beliefs has gained significant attention from scholars, resulting in a vast body of literature. To understand the current trends, themes, key contributors, and emerging areas in this domain, we utilized CiteSpace to review 1,731 teacher beliefs publications from 1951 to 2023 through the WOS database. The findings indicate that:1) Over recent decades, there has been a consistent increase in publications concerning teacher beliefs, which is still promising in recent years. 2) The research themes can be divided into professional development, teaching practices, self-efficacy, theoretical orientation, and student performance. 3) There is a noticeable lack of collaboration both across academic institutions and among different authors in the field of teacher beliefs research. 4) In terms of research hotspots, it can be roughly divided into the external environment, the belief ontology, and teaching practices. 5) In terms of research frontiers, four main research frontiers were identified in different periods: epistemological belief, implementation, inclusive education, and English. This study contributes to researchers’ understanding of the developmental trajectory of teacher beliefs research, thus providing references and guidance for future research endeavors.

 

 

During the COVID-19 pandemic, the healthcare system and the global supply chain were exposed to an unpredicted event, which increased awareness about the need of more effective strategies to support decision-making process and to empower safety barriers. In this work, a combined scientometric and systematic review was performed to analyze tools and methodologies able to combine resilience with more traditional risk assessment, learning from the experience posed by the COVID-19 crisis. Bibliometric and literature content analyses were carried out focusing on resilience management upon the incoming of an unexpected event. The systematic analysis of the methods and models developed on the basis of different pandemic waves provides a natural guide for future research development.