Producción Científica

 

 

With the development of technologies and pedagogies, the multimodality of language education is becoming increasingly important, especially in the context of the challenges posed by the COVID-19 pandemic. Through advanced multimodal theories and media, teachers could integrate multiple sensory and communicative modes in language teaching. This study uses bibliometric analysis to explore the multimodality in language education from both qualitative and quantitative aspects. The author uses tools such as VOSviewer, CiteSpace, and CitNetExplorer to visualize this topic’s research evolution. The findings show that multimodal media and pedagogies evolve to boost student engagement and understanding in language learning, particularly in terms of video-mediated interaction and social media. Future research is recommended to assess the long-term influences of multimodal approaches and explore their integration with emerging educational technologies.

 

 

Objective: Accumulating evidence indicates that oxidative stress and the disruptionof antioxidant defenses play an important role in the neurobiology of bipolar disorder(BD). Studies have found that increased oxidative stress may be associated with cellapoptosis and neuronal damage in BD patients. Hence, this study explored theresearch field related to BD and oxidative stress from a bibliometrics perspective. Methods: Literature search and relevant data retrieval based on the Web of SciencesCore Collection (WoSCC). R software (version 4.2.2), VOSviewer software (version1.6.18), and CiteSpace (version 6.1.6) were used in this bibliometric analysis. Results: A total of 2081 publications related to BD and oxidative stress were pub-lished between 1986 and 2024. Bipolar Disorders was the journal that had the mostpublications in this area (72; 3.46%; IF = 5.9), while the United States (1285; 61.7%)and the University of Toronto (377; 18.1%) were the most productive country andinstitution, respectively. Apart from “oxidative stress” and “bipolar disorder,” the most frequently used keywords were “schizophrenia,” “prefrontal cortex,” and “nitricoxide.” Conclusions: The growing number of publications related to BD and oxidative stressin recent years highlights the importance of this research field. Hot topics in researchrelated to BD and oxidative stress included animal experiments and molecular mecha-nisms, psychiatric-related inflammation and biomarkers, neurodegenerative diseases,and metabolism. Furthermore, the biological mechanisms of BD, particularly bio-markers and inflammation, may be the emerging research priority area in the future.

 

 

Objective: The objective of this article is to prioritize technologies, innovations, and new businesses related to the leather agroindustrial chain in the department of Quindío (Colombia) for the year 2035. Method: The prospective scenario and Delphi methods were used to prioritize key variables, technologies, actors, innovations, objectives, and scenarios in the leather agroindustry. As a previous phase, the Scopus database was used with the critical factors of leather, tanning, tanneries, tannery, leather transformation, cowhide, and suede, and the results were used as input for structured, anonymous and reiterative consultations with national and international experts on topics related to the chain and with a time horizon of 2035. The questionnaire was posed by groupings, including product and by-product innovation, sustainability, technology, and genetics, and, for the first round of the Delphi method, was sent to more than 70 national and industry experts/stakeholders, representatives of universities, the public and private sectors, and organizations related to the chain. Findings: After conducting a bibliometric analysis, key terms related to the leather sector were visualized and a validation was made for MICMAC methods, with 44 variables found; with topics ranging from raw materials to current regulations. For the MACTOR method, future objectives were determined for clean technologies, the creation of new product development, and an R&D&I Center for productive transformation. Meanwhile, for the Delphi method, 44 technologies and innovations were prioritized through rounds with complementary analysis using Python and natural language processing. Conclusions: Topics such as vegan leather made, from mushrooms; bio-leather or leather made, from mango peel; nanofibers, nanocomposites, biogas production, nanofiltration, 4D Printing, Artificial Intelligence to improve leather quality; augmented reality to improve customer experience; genetic improvement of animals to improve leather quality, among others, in which innovation challenges and open innovation strategies can be generated, as well as in R&D&I projects, were identified.

 

 

Introduction: Spinal cord injuries often lead to significant motor and sensory deficits, as well as autonomic dysfunction. Compared with normal spinal injuries, combat-related spinal injuries (CRSIs) are usually more complex and challenging to treat because of multiple traumas, firing-line treatments, and arduous initial treatments on a battlefield. Yet numerous issues remain unresolved about clinical treatment and scientific research. The enhancement of CRSI diagnosis and treatment quality by military surgeons and nurses is imperative. The objective of this study is to identify the frontiers, hotspots, and trends among recent research, summarize the development process of clinical trials, and visualize them systematically. Materials and Methods: We collected publications from CRSI based on the Core Collection of Web of Science for 30 years from January 1, 1993 to May 1, 2023. Visualizations of the knowledge maps were produced using VOSviewer and CiteSpace software. We examined annual trends of publications and distribution patterns, the number of publications, as well as the research hotspots. Results: Among 201 documents, it was found that there was a stable upward trend in publications. There were 2 rapid growth stages during the 30 years. Among all countries, the USA contributed the most publications, along with the highest influence and the most international cooperation. Military Medicine was the journal of the maximum publications, whereas the Spine journal was the most influential one. Keyword co-occurrence analysis and trend topics analysis revealed that these articles focused 5 distinct categories for CRSI. Conclusions: As the first bibliometric study focused on CRSI, we demonstrated the evolution of the field and provided future research directions. We summarized the hotspots and 5 clusters published. This would serve as a useful guide for clinicians and scientists regarding CRSI global impacts.

 

 

This bibliometric analysis explores machine learning applications in biofuels and biodiesel research using Elsevier’s Scopus database from 2013 to 2023. The research employs co-authorship, co-occurrence, citation, and co-citation analyses with fractional counting. Results indicate a significant rise in publications. Prominent funding agencies along this field include the National Natural Science Foundation of China, Brazil’s Conselho Nacional de Desenvolvimento Científico e Tecnológico and the U.S. Department of Energy. Co-authorship analysis reveals contributions from 268 authors across 951 organizations in 71 countries, with strong collaboration in Asia. Citation analysis shows that 95% of articles have received at least one citation, with China and the United States leading in citation counts. This study highlights the interdisciplinary and collaborative nature of machine learning research in biofuels and biodiesel, driven by substantial contributions from key funding bodies and researchers worldwide.

 

 

Here, we present a protocol for conducting bibliometric analysis in biomedicine using CiteSpace and VOSviewer. We describe the steps for extracting data from Web of Science, data cleaning, and preprocessing. We then detail procedures for identifying research trends and collaboration networks by visualizing data with CiteSpace; mapping co-authorship, co-citation, and keyword co-occurrence using VOSviewer; and analyzing highly cited literature to identify key publications and trends. Finally, we outline techniques for interpreting the visualizations to draw meaningful conclusions about the research landscape.

 

 

The accessibility of academic literature has improved considerably because of the internet, with a range of platforms providing access online. It is now common for academic literature databases to use ranking algorithms to sort search results by ‘relevance’. However, it is often unclear how relevance is defined, and it varies across different platforms. This lack of transparency can potentially introduce bias, and impact the rigour of literature reviews. While there is a lack of clarity on the technical features of algorithms, online academic literature databases are now used extensively. There is a critical question of how those using the platforms perceive ranking to function in this context, and how they adapt their information-seeking behaviour. In this paper we present findings from a mixed-methods study, involving an online survey and in-depth interviews with academics, to understand their beliefs and assumptions about relevance ranking algorithms and their implications for academic practice.

 

 

Background: Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and its distant metastasis (PTCDM), although uncommon, seriously affects the survival rate and quality of life of patients. With the rapid development of science and technology, research in the field of PTCDM has accumulated rapidly, presenting a complex knowledge structure and development trend. Methods: In this study, bibliometric analysis was used to collect 479 PTCDM-related papers published between 2004 and 2023 through the Web of Science (WoS) Core Collection (WoSCC) database. Keyword clustering analysis was performed using VOSviewer and citespace, as well as dual-map overlay analysis, to explore knowledge flows and interconnections between different disciplines. Results: The analysis indicated that China, the United States, and South Korea were the most active countries in conducting research activities. Italy’s research was notable due to its higher average citation count. Keyword analysis revealed that “cancer,” “papillary thyroid carcinoma,” and “metastasis” were the most frequently used terms in these studies. The journal co-citation analysis underscored the dominant roles of molecular biology, immunology, and clinical medicine, as well as the growing importance of computer science in research. Conclusion: This study identified the main trends and scientific structure of PTCDM research, highlighting the importance of interdisciplinary approaches and the crucial role of top academic journals in promoting high-quality research. The findings not only provide valuable information for basic and clinical research on thyroid cancer but also offer guidance for future research directions.

 

 

The discipline of bibliometrics involves the application of mathematical and statistical methods to scholarly publications. The first attempts at systematic data collection were provided by Alfred Lotka and Samuel Bradford, who subsequently established the foundational laws of bibliometrics. Eugene Garfield ushered in the modern era of bibliometrics with the routine use of citation analysis and systematized processing. Key elements of bibliometric analysis include database coverage, consistency and accuracy of the data, data fields, search options, and analysis and use of metrics. A number of bibliometric applications are currently being used in medical science and health care. Bibliometric parameters and indexes may be increasingly used by grant funding sources as measures of research success. Universities may build benchmarking standards from bibliometric data to determine academic achievement through promotion and tenure guidelines in the future. This article reviews the history, definition, laws, and elements of bibliometric principles and provides examples of bibliometric applications to the broader health care community. To accomplish this, the Medline (1966–2014) and Web of Science (1945–2014) databases were searched to identify relevant articles; select articles were also cross-referenced. Articles selected were those that provided background, history, descriptive analysis, and application of bibliometric principles and metrics to medical science and health care. No attempt was made to cover all areas exhaustively; rather, key articles were chosen that illustrate bibliometric concepts and enhance the reader’s knowledge. It is important that faculty and researchers understand the limitations and appropriate uses of bibliometric data. Bibliometrics has considerable potential as a research area for health care scientists and practitioners that can be used to discover new information about academic trends, pharmacotherapy, disease, and broader health sciences trends.

 

 

We present a large-scale comparison of five multidisciplinary bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. The comparison considers scientific documents from the period 2008–2017 covered by these data sources. Scopus is compared in a pairwise manner with each of the other data sources. We first analyze differences between the data sources in the coverage of documents, focusing for instance on differences over time, differences per document type, and differences per discipline. We then study differences in the completeness and accuracy of citation links. Based on our analysis, we discuss the strengths and weaknesses of the different data sources. We emphasize the importance of combining a comprehensive coverage of the scientific literature with a flexible set of filters for making selections of the literature.