Producción Científica

 

 

Background: Dementia is a progressive neurodegenerative condition, while metabolic syndrome (MetS) is characterized by a combination of metabolic abnormalities such as hypertension, high blood sugar, and obesity. There exists a connection and overlap between the two conditions in certain aspects, and both are influenced to varying degrees by the process of aging. This study presents an overview of the current research landscape regarding dementia and MetS through bibliometric analysis. Methods: A systematic search was conducted to retrieve relevant literature on dementia and MetS published between 1 January 2000, and 30 November 2023, from the Web of Science Core Collection database. Various bibliometric tools, including VOSviewer, CiteSpace, and the R software package “bibliometrix,” were utilized for analysis. Results: A total of 717 articles were identified, showing an upward trend in annual publications. Leading contributors included the United States, Italy, and China, with institutions such as the University of California System at the forefront. The Journal of Alzheimer’s Disease emerged as the top publisher, while research published in Neurology garnered significant citations. Noteworthy authors encompassed Panza, Francesco; Frisardi, Vincenza; and Feldman, Eva L, with Kristine Yaffe being the most cited author (280 citations). Recent studies have focused on themes like “gut microbiota,” “neuroinflammation,” “fatty acids,” and “microglia.” Conclusion: This bibliometric analysis summarizes the foundational knowledge structure in the realm of dementia and MetS from 2000 to 2023. By highlighting current research frontiers and trending topics, this analysis serves as a valuable reference for researchers in the field.

 

 

Introduction: This paper explores the role of Brazilian research institutions in the global and national context of study of medicinal plants. Most of these plants have ethnopharmacological use and herbal medicines related to the Amazon. It highlights Brazil’s position in scientific production and the importance of Amazonian resources in developing phytomedicines. The study aims to provide an overview of the technical-scientific production of medicinal plants and herbal medicines related to the Amazon, focusing on scientific impact, collaboration, Technology Readiness Level (TRL) of scientific production, and innovation system maturity. Methods: The study employs a comprehensive methodological approach, including data collection from Scopus covering the period from 2002 to 2022. The data was cleaned and analyzed using bibliometric and network analysis techniques. Advanced natural language processing techniques, such as Latent Dirichlet Allocation and Jaccard distance measure, were used for TRL classification. Results: The findings reveal a predominant contribution from Brazilian institutions and authors, with 1,850 publications analyzed. Key areas identified include Pharmacology, Toxicology, Pharmaceuticals, Medicine, and Biochemistry. The study also uncovers various collaborative networks and technological maturity levels, with a significant focus on early-stage development phases. Discussion: The research concludes that Brazilian institutions, particularly those in the Amazon region, play a significant role in the scientific exploration and development of medicinal plants and herbal medicines. Despite this, countries like the USA were proportionally more productive in clinical trial research. The study underscores the potential of Brazil’s rich biodiversity and traditional knowledge in the pharmaceutical industry, particularly for neglected diseases. It suggests the need for stronger research systems and international collaboration to leverage these resources for global health benefits.

 

 

Objective: Identify the collaborations between authors, countries, and institutions, respectively, and explore the hot issues and prospects for research on hospital medication management. Materials and Methods: Publications on hospital medication management were retrieved from the Web of Science Core Collection. Bibliometric analyses were performed using CiteSpace 6.1.R3, HistCite 2.1, and VOSviewer 1.6.16. The network maps were created between authors, countries institutions, and keywords. Results: A total of 18,723 articles related to hospital medication management studies were identified. Rapid growth in the number of publications since 2017. The high papers were published in AM J HEALTH-SYST PH, while JAMA-J AM MED ASSOC was the most co-cited journal. Manias E and WHO ranked first in the author and cited author. There were active collaborations among the top authors. Bates DW was the key author in this field. The authors have active collaborations in adverse drug events, acute coronary syndrome, in-hospital major bleeding, and so on. The US was the leading contributor in this field. The UK, Australia, and China are also very active. Active cooperation between countries and between institutions was observed. The main hot topics included matters related to outcome indicators, hospital pharmacy service behaviors, and medication use in pain management. More recent keywords focus on chronic disease medication management and clinical medication management. Conclusion: Hospital medication management studies have significantly increased after 2017. There was active cooperation between authors, countries, and institutions. The application of hospital medication management in the emergency department and the relationship between medication management and medication adherence are current research hotspots. In addition, with the continuous progress of society, chronic diseases have become an important factor affecting people’s health, and medication management is becoming more and more subdivided, so the direction of chronic disease medication management as well as precise medication may become the development direction of future research.

 

 

In the current knowledge-based economy, the abilities of the national research system are a key driver of the country’s competitiveness and socio-economic development. This paper compares the scientific standing of the OECD countries and eight other relevant economies. We use a bibliometric indicator of research performance, applied first at the individual level. This approach avoids the distortions of the aggregate-level analyses extant in literature and practice, which overlook the different publication intensities across research fields. We find a strong correlation between research performance and the economic competitiveness of nations and a moderate but significant correlation between research performance and the propensity to spend on research.

 

 

The organ-system integrated (OSI) curriculum was pioneered in the country by the U.P. College of Medicine (UPCM) in 2004. Data on its impact on research productivity was lacking. This study aims to describe the trends in research productivity of UPCM in a time series and the impact of OSI implementation on publication trends. Relevant electronic databases (PubMed, Scopus, and WPRIM) were searched from the earliest indexed record until December 2023. The auto-regressive integrated moving average (ARIMA) time series analysis was used to compare the actual and predicted trends during the OSI implementation using the pre-OSI trend. A total of 2,705 articles were included. Acta Medica Philippina is the journal with the highest number of publications (n = 420, 20.24%). Although there is a considerable rise in the number of publications utilizing evidence synthesis and qualitative design, observational studies remain as the most common design (n = 293, 2021-2023 period). The leading clinical departments are Neurosciences and Medicine. The departments of Biochemistry and Clinical Epidemiology take the lead among basic sciences departments. Despite the glaring uptrend in publications concurrent with OSI implementation, the actual trend is not significantly different from the predicted trend (LR chi2(1) = 0.37; Prob > chi2 = 0.5432). The OSI curriculum did not significantly change the trend of productivity. Medical curriculum designers should revisit strategies dedicated for research competencies. It is imperative to include activities for qualitative and mixed-methods designs. Future studies should consider relevant critical events in the time series forecasting models and the scientific outputs in the grey literature.

 

 

This study fills the void because no specific research on fiscal stimulus using bibliometric analysis in the last decade has been conducted. This study aims to identify trends in fiscal stimulus that can be useful as a decision-making support tool in setting future research priorities (Mejia et al., 2021). This research method adopts Garza and Reyes’s (2015) five-step bibliometric analysis phase: determining search keywords, initializing search results, refining search results, compiling initial data statistics, and analyzing data. Based on the research results, at the initial results stage, 779 datasets were obtained from the Scopus database, reduced to produce 578 data and visualized using VOSviewer. This study lists research trends, active journal publishers, prolific writers, the most active nations and institutions and the most important scientific fields. Based on the distinctive relationships of groups of keywords within clusters, cluster analysis identifies the primary study subjects in fiscal stimulus. The authors conclude that the research areas based on keyword analysis that rarely occur as future study topics related to fiscal stimulus are climate change, multiplier, lockdown and H30 (fiscal policy and behavior of general economic actors), and the liquidity trap.

 

 

Renewable energy is becoming more attractive as traditional fossil fuels are rapidly depleted and expensive, and their use would release pollutants. Power systems that use both wind and solar energy are more reliable and efficient than those that utilize only one energy. Hybrid renewable energy systems (HRES) are viable for remote areas operating in standalone mode. This paper aims to present the state-of-the-art research on off-grid solar-wind hybrid energy systems over the last two decades. More than 1500 published articles extracted from the Web of Science are analyzed by bibliometric methods and processed by CiteSpace to present the results with figures and tables. Productive countries and highly cited authors are identified, and hot topics with hotspot articles are shown in landscape and timeline views. Emerging trends and new developments related to techno-economic analysis and microgrids, as well as the application of HOMER software, are predicted based on the analysis of citation bursts. Furthermore, the opportunities of hybrid energy systems for sustainable development are discussed, and challenges and possible solutions are proposed. The study of this paper provides researchers with a comprehensive understanding and intuitive representation of standalone solar-wind hybrid energy systems.

 

 

Este artículo releva el estado actual de la producción científica de la IA en México con técnicas bibliométricas. Considera la especialización de la IA en seis subcampos. Como metodología, emplea los metadatos de 13 265 publicaciones, recolectados del catálogo bibliográfico OpenAlex y realiza un análisis cuantitativo de productividad con base en métricas de publicaciones, autores, citas y colaboraciones internacionales, e identifica sus principales temas de investigación y su desarrollo. Los resultados muestran una estructura científica local extensa con importantes colaboraciones internacionales. Se identifican tanto subcampos maduros, desarrollados desde hace tres décadas, que abarcan la robótica y las redes neuronales; como subcampos emergentes, desarrollados en los últimos cinco años, que comprenden el aprendizaje automático, el procesamiento del lenguaje natural y la visión por computadora. El artículo distingue aplicaciones recientes en las áreas de salud, medio ambiente, finanzas, procesamiento del lenguaje natural y acústica.

 

 

Desde 1990, las investigaciones referentes al capital social (CS) y Desarrollo Sostenible (DS) han aumentado considerablemente debido a que el CS mejora las dimensiones del DS. El objetivo de este estudio es brindar un panorama bibliométrico de la literatura existente en los campos de CS y DS, a través de una visión cuantitativa. Los datos recopilados comprendieron el periodo de 1994-2022, con los conjuntos de datos de Scopus. Las unidades de análisis fueron revistas, países, instituciones, autores y publicaciones. Los métodos bibliométricos utilizados fueron el análisis de desempeño y el mapeo científico. El análisis de desempeño utilizó indicadores como el índice h, la productividad, el umbral de citas y las dimensiones de temporalidad. Para el mapeo científico se manejaron las técnicas de citas conjuntas y la co-ocurrencia de palabras clave; se crearon mapas de redes con el apoyo del software VOSviewer. Los resultados mostraron que Reino Unido es el país más productivo e influyente en publicaciones referentes a CS y DS. Los autores Ann Dale y Lenore Newman, fueron los más representativos. La sustentabilidad, el capital humano y los tipos de capital social: unión, puente y vertical, son los principales temas emergentes relacionados con el CS y DS.

 

 

Background: Natural language processing, such as ChatGPT, demonstrates growing potential across numerous research scenarios, also raising interest in its applications in public health and epidemiology. Here, we applied a bibliometric analysis for a systematic assessment of the current literature related to the applications of ChatGPT in epidemiology and public health. Methods: A bibliometric analysis was conducted on the Biblioshiny web-app, by collecting original articles indexed in the Scopus database between 2010 and 2023. Results: On a total of 3431 original medical articles, “Article” and “Conference paper”, mostly constituting the total of retrieved documents, highlighting that the term “ChatGPT” becomes an interesting topic from 2023. The annual publications escalated from 39 in 2010 to 719 in 2023, with an average annual growth rate of 25.1%. In terms of country production over time, the USA led with the highest overall production from 2010 to 2023. Concerning citations, the most frequently cited countries were the USA, UK, and China. Interestingly, Harvard Medical School emerges as the leading contributor, accounting for 18% of all articles among the top ten affiliations. Conclusions: Our study provides an overall examination of the existing research interest in ChatGPT’s applications for public health by outlining pivotal themes and uncovering emerging trends.