Scientific Production Research Articles

Exploring Biosensors’ Scientific Production and Research Patterns: A Bibliometric Analysis

More sustainable biosensor production is growing in importance, allowing for the development of technological solutions for several industries, such as those in the health, chemical, and food sectors. Tracking the latest advancements in biosensors’ scientific production is fundamental to determining the opportunities for the future of the biosensing field. This article aims to map scientific production in the biosensors field by running a bibliometric analysis of journal articles registered in the Web of Science database under biosensor-related vital concepts. The key concepts were selected by researchers and biosensor technology developers working on the BioAssembler Horizon project. The findings lead to identifying the scientific and technological knowledge base on biosensing devices and tracking the main scientific organisations developing this technology throughout the COVID-19 period (2019–2023). The institutional origin of the publications characterised the global distribution of related knowledge competencies and research partnerships. These results are discussed, shedding light on the scientific, economic, political, and structural factors that contribute to the formation of a scientific knowledge-based focus on the performance and design of these sensors. Moreover, the lack of scientific ties between the three axes of organisations producing expertise in this area (China, USA, and Russia) points towards the need to find synergies through new mechanisms of co-authorship and collaboration.

Mapping the evolution of gender dysphoria research: a comprehensive bibliometric study

AbstractThe definition of gender dysphoria has been the subject of extensive scientific debate in various fields. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-V) characterizes gender dysphoria as a psychological condition due to a discrepancy between perceived and assigned gender. The scientific community has engaged in an extensive debate over the years regarding the classification of gender dysphoria, initially characterizing it as a gender identity disorder and subsequently removing it from the category of mental disorder. This paper aims to use bibliometric techniques to analyze scientific productivity and study the evolution of content on gender dysphoria from 1991 to 2022. It provides to map the scientific research production in this field through the science mapping approach highlighting the changes that have taken place over the past three decades.

Analyzing the evolution of machine learning integration in educational research: a bibliometric perspective

Machine learning, a subset of artificial intelligence, has experienced rapid advancements and applications across various domains. In education, its integration holds great potential to revolutionize teaching, learning, and educational outcomes. Despite the growing interest, there needs to be more comprehensive bibliometric analyses that track the trajectory of machine learning’s integration into educational research. This study addresses this gap by providing a nuanced perspective derived from bibliometric insights. Using a dataset from 1986 to 2022, consisting of 449 documents from 145 sources retrieved from the Web of Science (WoS), the research employs network analysis to unveil collaborative clusters and identify influential authors. A temporal analysis of annual research output sheds light on evolving trends, while a thematic content analysis explores prevalent research themes through keyword frequency. The findings reveal that co-authorship network analysis exposes distinct clusters and influential figures shaping the landscape of machine learning in educational research. Scientific production over time reveals a significant surge in research output, indicating the field’s maturation. The co-occurrence analysis emphasizes a collective focus on student-centric outcomes and technology integration, with terms like “online” and “analytics” prevailing. This study provides a nuanced understanding of the collaborative and thematic fabric characterizing machine learning in educational research. The implications derived from the findings guide strategic collaborations, emphasizing the importance of cross-disciplinary engagement. Recommendations include investing in technological infrastructure and prioritizing student-centric research. The study contributes foundational insights to inform future endeavors in this ever-evolving field.

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

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.

Felicidade no trabalho

The article aims to analyze the scientific production in relation to happiness at work, showing the impact that this topic has on the scientific production in the Web of Science database. The methodology used to develop the research is bibliometric, the study covered from 2007 to the present. The Bibliometrix and VOSviewer software were used for data processing; 160 documents were finally reviewed in depth, considering only open access articles. The analysis of these documents included authors, sources, keywords, citations, H index and co-citations, among other aspects. Over time, the topic of happiness has been relevant and has been analyzed from different areas and perspectives, however, in terms of happiness at work, its study has slowly increased, despite the relevance that, according to Most of the authors analyzed have this theme in the organizations of the modern world.

Characteristics of cardiologist training in Latin America: a survey of the Interamerican Society of Cardiology

Describe the characteristics of the different cardiology medical residencies in Latin America. Cross-sectional study that aims to evaluate the characteristics of cardiology residencies in Spanish-speaking countries of Latin America, through self-administered electronic surveys. Three hundred seven residents of 147 residences were surveyed. Mean age was 31 years and 63% were male. Ninety eight percent carry out their training in the capital city. The average total training time is 4.8 years. Forty four percent complete their residency in internal medicine prior to starting cardiology, and 10% have no prior training. In cardiology training is 3 years in most countries. Fifty four percent present academic activities every day and 16% only once or less, consisting of theoretical classes (93%), clinical cases (85%), bibliographic workshops (69%), and writing scientific papers (68%). Supervision is carried out by the chief resident (45%), resident coordinator (44%), resident instructor (27%) or the department head (54%), while 2.6% do not present supervision. The main rotations were echocardiography (99%), hemodynamics (96%), coronary unit (93%), and electrophysiology (92%). Residents highlighted the need to improve academic activities (23%) and scientific production (12%). There are important differences in the academic and practical training between the residences of the different countries of America.

Nuclear Magnetic Resonance (NMR) Metabolomics: Current Applications in Equine Health Assessment

Metabolomics can allow for the comprehensive identification of metabolites within biological systems, at given time points, in physiological and pathological conditions. In the last few years, metabolomic analysis has gained popularity both in human and in veterinary medicine, showing great potential for novel applications in clinical activity. The aim of applying metabolomics in clinical practice is understanding the mechanisms underlying pathological conditions and the influence of certain stimuli (i.e., drugs, nutrition, exercise) on body systems, in the attempt of identifying biomarkers that can help in the diagnosis of diseases. Proton Nuclear Magnetic Resonance spectroscopy (1H-NMR) is well tailored to be used as an analytical platform for metabolites’ detection at the base of metabolomics studies, due to minimal sample preparation and high reproducibility. In this mini-review article, the scientific production of NMR metabolomic applications to equine medicine is examined. The research works are very different in methodology and difficult to compare. Studies are mainly focused on exercise, reproduction, and nutrition, other than respiratory and musculoskeletal diseases. The available information on this topic is still scant, but a greater collection of data could allow researchers to define new reliable markers to be used in clinical practice for diagnostic and therapeutical purposes.

Examining the Influence of AI Chatbots on Semantic Web-Based Global Information Management in Various Industries

This article presents a comprehensive analysis of the application and effect of ChatGPT, an advanced AI chatbot model, on global information management across various industries such as healthcare, industry, education, and more. Leveraging a dataset obtained from the Scopus database encompassing research papers from 2022 to 2023, this study investigates the influence of ChatGPT by examining publisher impact, authorship patterns based on Lotka's Law, country-specific scientific production, and keyword distribution. The analysis sheds light on prominent publishers, prolific authors, geographic distribution of research contributions, and prevailing research themes. By understanding the impact of ChatGPT in these sectors, this research contributes to the advancement of knowledge and facilitates informed decision-making regarding the responsible and effective utilization of artificial intelligence (AI) chatbot technologies in global information management.

A bibliometric approach to scientific production on familialhypophosphatemic rickets in scopus (2000-2022)

A bibliometric approach to scientific production on familialhypophosphatemic rickets in scopus (2000-2022)

A review of dynamic optimization in aquaculture production economics

AbstractDynamic optimization (DO) has been applied to aquaculture industry to determine optimal management strategies of aquaculture production systems. Optimal control of feeding, optimal stocking successions, and harvesting time among other factors has been studied. This work shows a review of the application of optimal control theory (OCT) and dynamic programming in economics and management of aquaculture. The Pontriagyn's maximum principle and the Bellman's optimality are the most commonly used mechanisms to solve control problems that optimize the producer's benefit or cost. Recently, model‐based predictive control has also been applied. Such tools have been used in aspects involving the design, planning, and monitoring of variables relevant to the optimal management of the culture system. It was found that in aquaculture there is low scientific productivity in the application of DO in bioeconomic models. In this review, an example of OCT applied to the control of feeding of farmed tilapia using a bioeconomic model is shown. DO represents a useful tool for optimal decision‐making and this review discusses the implications of the use of DO in aquaculture and recommendations for its use in the future.

Latent Variable Modeling of Scientific Impact: Estimation of the Q Model Parameters with Structural Equation Models

Abstract Statistical modeling of scientific productivity and impact provides insights into bibliometric measures used also to quantify differences between individual scholars. The Q model decomposes the log-transformed impact of a published paper into a researcher capacity parameter and a random luck parameter. These two parameters are then modeled together with the log-transformed number of published papers (i.e., an indicator of productivity) by means of a trivariate normal distribution. In this work we propose a formulation of the Q model that can be estimated as a structural equation model. The Q model as a structural equation model allows to quantify the reliability of researchers’ Q parameter estimates, it can be extended to incorporate person covariates, and multivariate extensions of the Q model could also be estimated. We empirically illustrate our approach to estimate the Q model and also provide openly available code for R and Mplus. Peer Review https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00313

MAPPING CENTRAL BANK DIGITAL CURRENCY LITERATURE: LESSONS FOR GOVERNMENTS AND RESEARCH

CBDC has gained popularity in many countries as a result of technological development. Central banks in a number of nations have been experimenting, piloting, launching, and promoting CBDC. Therefore, this study maps CBDC-related literature using a bibliometric approach and content analysis of the Scopus database. The Biblioshiny R Package was used in this study to analyse 190 documents with the keywords “central bank digital currency”. The analysis focuses on the main information about all documents, analysis of scientific production by areas (journals, authors, and countries), document and keyword analysis, and policy recommendations from the previous literature. The results show that CBDCs have had profound effects on monetary and payment systems, and their development could set the stage for a global central bank. The review also addresses the motivations and advantages of issuing a CBDC, including increasing financial inclusion, enhancing monetary policy, andpromoting efficient digital payments. The analysis also reveals that numerous central banks are investigating the possibility of issuing CBDCs due to the numerous advantages of this form of money. There is a lot of potential for theoretical expansion, contextual coverage, and methodological contributions. Furthermore, some policy recommendations from previous literature and directions for future studies are provided in this study.

The Dynamics of Social Entrepreneurship in Tunisia after 
the Revolution of 14 January 2011: 
The Elements of the Concept, the Elements of the Context and the Elements of Implementation

Social entrepreneurship has emerged since the 1980s in both the United States and Europe to address the social, ecological, and environmental problems that have destabilised existing economic systems around the world. Since the end of the 1990s, scientific production has been proliferating on this subject, but there is no consensus and a unifying paradigm as to the definition of the concept. This is due to the distinctions in the conception and practice of social entrepreneurship in different contexts, especially in Europe and the United States. Reflecting and practicing social entrepreneurship thus remains subject to the specificities of the geographical context. This work is in line with this perspective, as we seek to understand the characteristics of social entrepreneurship in Tunisia by positioning ourselves in relation to three components: the elements of context, the elements of concept, and the elements of implementation. This work is exploratory, and we adopt a qualitative approach through semi-directive interviews addressed to the actors of the Tunisian ecosystem as well as to social enterprises belonging to several sectors.

Knowledge management for small-scale agricultural producers: a thematic proposal for strengthening rural economic units

Objective: To establish a thematic proposal for the management of knowledge of small-scale agricultural producers (peasants) and the strengthening of rural economic units in the state of Querétaro, to energize the social fabric and improve the quality of life of the rural population. Design/methodology/approach: A bibliometric study of the scientific production on peasant knowledge in Mexico was carried out, as well as an observational analysis focused on specific and general problems. According to the information obtained and the problems detected, three areas for knowledge management were established: technical-productive, managerial and entrepreneurial. Results: In the technical-productive area, training in good agricultural practices should be addressed, along with technological innovation and the generation of added value. In the management area, issues related with strategic management with a broad entrepreneurial vision that could help create strategies for agribusiness development. Concerning entrepreneurship, the internal and external factors of the environment stand out, which allow awakening their interest, encouraging leadership and direction for business development, in addition to promoting associativity in farming regions. The implementation of the topics proposed in the research will strengthen and boost small-scale agricultural production in the state of Querétaro. Limitations on study/implications: This study can serve as a reference for small-scale agricultural producers (peasant). Findings/conclusions: There is a great opportunity through knowledge management to increase the capacities, knowledge and skills of small-scale agricultural producers (peasants) in the state of Querétaro regarding technical-productive, managerial and entrepreneurial themes, which will generate economic, social and environmental impacts for the benefit of this rural sector.

Web of Science-Based Scientometric Assessment of the Importance of Filtered Water in Dentistry: Spatiotemporal Dynamics, Emerging Patterns, and Collaboration.

The aim of this study was to examine the characteristics of scientific production related to the use of filtered water in the field of dentistry. Material and Methods. A quantitative and descriptive observational study was carried out with a scientometric approach. Data were collected from the Web of Science (WOS) database during the period January 1991 to December 2023. A search strategy incorporating a combination of MeSH terms, including terms and thesauri related to "filtered water" and "dentistry", was used. R Studio version 4.3.2 and CiteSpace 6.2.R7 were used for data analysis. Over the 32-year study period, 227 scholarly papers from 134 different sources were reviewed. The literature in this field has shown an annual growth rate of 10.44%. During the year 2010, a steady movement in the number of publications and authors was observed, with considerable collaborative interaction. In the year 2020, a large interaction between publications and their citations was found. The "Citation Burst" graph identified three references that have experienced the largest "burst" of citations in an evaluated period. Lotka's law described the productivity of authors, finding that most authors have published only one paper, while a smaller number of authors have published two papers. Most authors contributed a small number of articles, while a few authors contributed a large amount of the existing literature. A comprehensive overview of the scientific production related to the use of filtered water in dentistry over a span of 32 years is provided. The results highlight the growing interdisciplinarity and international collaboration in this field. Finally, the importance of filtered water in dentistry and its growing relevance in the scientific literature are emphasized.

International mobility matters: Research collaboration and scientific productivity

In this study, we examine the impact of government-sponsored international mobility on researchers’ scientific collaboration and productivity. To identify causal effects, we use a longitudinal dataset covering internationally mobile doctoral students sponsored by the China Scholarships Council for non-degree studies and non-mobile doctoral students while implementing a combined propensity-score matching and difference-in-differences approach. We find that international mobility has a significantly positive impact on researchers’ scientific collaboration and research output. Our findings suggest that international mobility influences individuals’ research output by increasing the size of collaboration teams. We further find that the effects of international mobility are heterogeneous, that they vary significantly across gender, prestige of doctoral institution, mobility time and destination: male researchers gain more benefits from international mobility in the numbers of collaborators and papers; mobility in early years are more beneficial in increasing collaborators; mobility to Asia and Oceania is most beneficial in improving research quality. These findings provide a deeper understanding of how international mobility shapes researchers’ academic performance and have implications for the policy formulation on government-sponsored international mobility.

Maria da Penha Law: Public policies in the fight against violence against women and the failures in the phases of enfronement

This article sought to identify in scientific productions the importance of the Maria da Penha Law in Brazil and its relevance to women and families, as well as its implementation in Municipal Public Security bodies. This is a literature review study, using a qualitative approach that surveyed 27 scientific productions, which were analyzed in terms of title, year of publication, journal, author and type of document. The 2030 Agenda includes 17 SDGs, including SDG 5, which calls for gender equality and the empowerment of women and girls and the elimination of all forms of discrimination, violence and harmful practices, guaranteeing and valuing women's rights and ensuring access to their rights and guarantees. It also encourages the adoption of solid policies to promote gender equality and SDG 16, which deals with peace, justice and effective institutions. Among the goals of this SDG, it is worth highlighting the reduction of the feminicide rate in Brazil.

Visual analysis of global research on the transient receptor potential ankyrin 1 channel: A literature review from 2002 to 2022

Background and aimsThe transient receptor potential ankyrin 1 (TRPA1) channel has become a focus in pain research. However, there are no bibliometric studies that systematically analyze the existing research in this area. This study aimed to provide a systematic review of the existing literature on TRPA1 using a bibliometric analysis. MethodsPublished literature in the field of TRPA1 was collected from the Web of Science Core Collection database. Quantitative and qualitative analyses of publications, countries, institutions, authors, journals, and other entries were conducted using Excel, VOSview, and Citespace software to provide insight into global research hotspots and trends in the TRPA1 field. ResultsThis study included 1189 scientific products published in 398 journals from 52 countries. The United States of America (n = 367) had the most publications, ahead of Japan (n = 212) and China (n = 199). The University of Florence (n = 55) was the most productive institution and Pierangelo Geppetti (n = 46) was the most productive author. PLoS One (n = 40) published the most articles on TRPA1. Pain, cold, inflammation, covalent modification, hyperalgesia, and oxidative stress were the most common keywords used in the studies. ConclusionThis study provides the first bibliometric analysis of TRPA1 publications. The physiological functions of TRPA1, TRPA1, and neuropathic pain, TRPA1 as a therapeutic target, and agonists of TRPA1 are trending in TRPA1 research. Neuropathic pain, apoptosis, and sensitization could be focus areas of future research. This study provides important insight in the field of TRPA1 research.

[The IN-HF Registry: the history and the scientific production for the Italian cardiology community].

The Italian Network on Congestive Heart Failure (IN-CHF) project, later known as IN-HF Online, was launched in 1995 to provide the Italian cardiology community with a digital tool, standardized across the country, for managing outpatients with heart failure (HF), that enabled the creation of a database for clinical, educational and scientific purposes. During its almost three decades of activity, this observational research program has achieved highly positive scientific results. Indeed, IN-HF fostered professional relationships among individuals working in different centers, established a cultural network for the care of HF patients, periodically updated on the scientific advances, and allowed the assessment of several clinical, epidemiological, and prognostic features. These findings have been published in numerous national and international journals, as summarized in the present overview.

Polymer 3D printing: global research trends

Purpose This study aims to identify research trends and technological evolution in the polymer three-dimensional (3D) printing process that can effectively identify the direction of technological advancement and progress of acceptance in both society and key manufacturing industries. Design/methodology/approach The Scopus database was used to collect data on polymer 3D printing papers. This study uses bibliometric approach along with network analytic techniques to identify and discuss the most important countries and their scientific collaboration, compares income groups and analyses keyword trends. Findings It was found that top research production results from heavy investments in research and development. The USA has the highest number of papers among the high-income countries. However, scientific production in the other two income groups is strongly dominated by China and India. Keyword analysis shows that countries with lower incomes in certain areas, such as composite and bioprinting, have fallen behind other groups over time. International collaborations were suggested as mechanisms for those countries to catch up with the current research trends. The evolution of the research field, which started with a focus on 3D printing processes and shifted to printed part designs and their applications, was discussed. The advancement of the research topic suggests that translational research on polymer 3D printing has been led mainly by research production from higher-income countries and countries with large research and development investments. Originality/value Previous studies have conducted performance analysis, science mapping and network analysis in the field of 3D printing, but none have focused on global research trends classified by country income. This study has conducted a bibliometric analysis and compared the outputs according to various income levels according to the World Bank classification.