Producción Científica

 

 

In the field of communication research, there is a substantial collection of scientific texts that have contributed to the analysis of a complex and ever-evolving human phenomenon. Although this literature has been extensively explored, there is one specialty that has yet to receive adequate attention: the scientific production focused on the study of electoral campaigns, which play a crucial role in democratic regimes, particularly in periods of polarisation and declining trust. This article aims to present a specific bibliometric analysis of scientific studies on electoral campaigns published in the most influential Spanish scientific communication journals over the past decade (2012–2022), as well as emerging trends in this field. The sample includes 274 articles published during the last decade that address electoral campaigns from a communicative perspective. Using quantitative bibliometric analysis techniques, a range of variables has been examined, including publication dates, language, authorship and institutional affiliations, keywords, geographical scope, year and country of the elections studied, topics covered, citations received, and methods used. The results reveal a preference for quantitative techniques, especially content analysis, in this scientific production. Additionally, it is observed that articles are predominantly authored by individuals affiliated with public universities, and in recent years, there has been a significant increase in the analysis of social media platforms such as Facebook and Twitter in the context of electoral campaigns.

 

 

Global digitalization dramatically affects tourism actions, varying the principles of its organization, data support and the traveler himself. The main goal of the study is to analyze the digitalization process of the tourism industry at the current stage of development and its state in Kazakhstan. The article considers the issues related to the impact of electronic technology on the growth and progress of digitalization in tourism. An overview of examples for the tourism digital technologies is provided. Crucial new trends in the industry of tourism associated to digitalization are identified. The conducted research on the application of several scientific methods and technologies of information processing was based. In particular: bibliometric analysis in the field of tourism digitalization and digital ecosystems; study of Kazakhstan’ tourist Internet portals; survey of representatives of Kazakhstan’ travel agencies and modeling based on regression ordinal model. Bibliometric analysis was used to study the success level implementation of the activities in the field of tourism digitalization. This method was as a basis for identifying gaps, formed and future trends in the field of digital tourism ecosystem. The data source was the databases, which includes a wide range of publications on tourism scientific issues. The main analysis of articles was carried out in the special software Voyant Tools. Two additional research methods in this paper are applied: content analysis and modeling based on regression ordinal model. The current state of the market place in tourism, the level of application of elements of digital technologies in the sphere of tourism based on Kazakhstan’ tourist platphorms is evaluated. With the help of a survey it was analyzed the degree of penetration of digital technologies currently used by companies in the local tourism market.

 

 

Background: Although the number of studies on sorafenib for hepatocellular carcinoma (HCC) is increasing during the past two decades, no detailed scientometric examination of its knowledge framework has been undertaken. Therefore, we performed a bibliometric analysis on this topic. Methods: VOSviewer and CiteSpace were utilized to analyze the articles regarding sorafenib for HCC from 2005 to 2024, which were retrieved from the Web of Science Core Collection (WoSCC) database. Results: There were 7,667 articles related to sorafenib in HCC were retrieved from the WoSCC database, and they covered 99 countries/regions, 5,640 institutions, and 30,450 authors. The most published literature of countries and institutions were China and Sun Yat-sen University, respectively. Cancers is the journal with the most papers published in this field, and the journal with the most co-citations is N Engl J Med. Among authors, Masatoshi Kudo has published the most research papers, and the most co-citations go to JM Llovet. The keywords “survival”, “apoptosis”, “efficacy”, “transarterial chemoembolization”, “lenvatinib”, etc. represent the current hotspots in this field. Conclusions: We identified current hotspots and trends by bibliometric analysis in sorafenib-HCC field, which might provide valuable guidance for future researches. Further explorations are supposed to conduct the continued study of HCC apoptosis, large-scaled clinical trials with international cooperations, and comprehensive treatments including multiple systemic or locoregional approaches in patients with HCC.

 

 

In response to the growing demand for healthcare and the increasing importance people place on medical services, efficiently meeting these needs within the constraints of limited healthcare resources is of great social and economic benefit. Therefore, research into applying Large Language Models (LLMs) in the healthcare sector holds significant importance. This paper provides a review of the research progress on the application of LLMs in the healthcare field. First, the basic framework of LLMs is summarized, and the training process of LLMs in healthcare is systematically reviewed. Next, six specific application areas of LLMs in healthcare are reviewed: disease diagnosis and decision support, dissemination of medical knowledge, medical assistance, medical image analysis, biomedicine, and medical education. Then, several representative healthcare-specific LLMs are discussed, along with their performance analysis. Following this, the challenges faced by LLMs in healthcare are summarized, and relevant suggestions are provided. The future development trends of LLMs in healthcare are also explored. Finally, a bibliometric analysis is performed. Through the literature review, we found: 1) After pretraining, LLMs are widely adaptable to downstream tasks, significantly enhancing processing performance and efficiency; 2) LLMs in healthcare possess multiple capabilities and can handle multimodal data; 3) Bibliometric analysis shows that researchers are paying increasing attention to the application of LLMs in healthcare; 4) Further research is needed in optimizing, improving reliability, and expanding practical applications of large healthcare models.

 

 

Aim: Over the years, publications investigating the potential of various nutritional supplements, such as antioxidants, probiotics, and phytochemicals, to improve drug-induced nephrotoxicity have increased both qualitatively and quantitatively. This bibliometric analysis evaluated 100 highly cited articles on the protective effects of nutritional supplements against nephrotoxicity published between 2010 and 2023. Method: Articles published in these 13 years were evaluated through a structured search in Scopus and Web of Science databases. Statistics and visualization techniques were done using VOSviewer and RStudio software. Results: The increase rate of articles published on this subject was found to be %450. The average h-index of selected studies was calculated as 60. A total of 534 authors and a citation rate of 86.95 were determined. The total citation mean was defined as 9 per year. The top 3 supplements were curcumin (n=7), melatonin, and probiotics (n=5) in the trends. Cisplatin and gentamicin are used as toxic agents in 34% of the top 100 articles we researched, and they continue to be a trend. Conclusion: Curcumin, melatonin, berberine, quercetin, and probiotics are trending and effective supplements in this field. Based on our investigations, we think that the synergy between the effective bioactive ingredients and probiotics and/or other functional foods suggests future novel approaches based on interactions involving microbiota, oxidative, and inflammatory stress.

 

 

Mountains are widely acknowledged as essential components of terrestrial landscapes. However, mountain ecosystems are particularly sensitive to climate and environmental changes. The sustainable management of the natural resources and ecological services provided by mountain systems is imperative. The 2030 agenda for sustainable development specifically established Sustainable Development Goal (SDG 15.4) to protect and promote the sustainability of mountain ecosystems. Researchers and policymakers have widely endorsed the use of remote sensing (RS) to monitor and evaluate progress in achieving mountain sustainable development. This paper firstly reviewed the mountain sustainable development from a conceptual framework to a defined objective process. A total of 804 publications since 2000 were retrieved using keyword searches. Based on bibliometric analysis, this study explores the various methods and resources used for monitoring SDG 15.4. RS monitoring methods on monitoring and assessment of mountain SDG indicators were introduced in detail. This review also discussed the challenges of using RS to monitor mountain SDG indicators, the limitations of SDG 15.4, and its interactions with other SDG targets. Halfway through the SDGs deadline, this study is helpful to review the research progress of mountain SDG indicators and provide support for promoting the realization of mountain SDG in 2030.

 

 

The marketing technology ecosystem is rapidly evolving, integrating digital tools and platforms to transform marketing practices. This study analyses this dynamic and diverse field, addressing research trends, theoretical foundations and future directions. This research uses a multimethod approach combining bibliometric analysis, systematic literature review and content analysis. The study analyzed 144 articles from 2017 to 2024, using the theory, context, characteristics and method (TCCM) framework to structure the findings. Key research themes include artificial intelligence (AI), blockchain, digital marketing and customer experience. Journals like Industrial Marketing Management dominate the field, with the United States and the United Kingdom (UK) leading in publications; theoretical foundations focus on service-dominant logic (SDL), digital transformation, and ecosystem perspectives. Commonly used theories include technology acceptance models and dynamic capabilities, applied across various industries and digital platforms. Research methods range from quantitative surveys to qualitative case studies and emerging AI-driven analytics. The study highlights the field’s rapid evolution and diverse, interdisciplinary nature, combining various perspectives and expertise. Exciting future research directions include integrating emerging technologies, exploring sustainability and ethical implications, and developing more sophisticated, multimethod approaches to capture the complexity of marketing technology ecosystems.

 

 

This paper reflects on the use of microbial genetic resources in the context of agricultural systems. The benefits of harnessing the diversity of these resources in any agricultural system are highlighted, as well as the importance of knowing and preserving native agrobiodiversity, which is deemed an essential resource for Latin America. In this region, harmful effects of irrational use of agrochemicals and monocultures on the environment, economy, and health have been brought to light. In view of the growing awareness and global interest in the development of bioinputs, rational biodiversity use, environmental crisis, cost of conventional synthetic inputs, and the right to safe and quality food, agriculture requires new tools and effective strategies in its practice. Microbial genetic resources are a potential source of relevant and suitable inputs for this purpose. Using the bibliometric technique of co-occurrence of terms with the VOSviewer tool, an analysis of 60 articles published between 2020 and 2024, collected from databases such as Scopus and Web of Science, was performed. An interest in microbial resources and their potential application in plant nutrition, production of growth regulators, defenses against pests and diseases, and tolerance to limiting environmental conditions can be appreciated. However, elucidating their complex ecological dynamics is necessary to understand them in real production contexts, thus allowing the allocation of relevant technological packages and the fair management of their use and potential benefits.

 

 

The global economy has undergone a digital transformation that is now essential for sustainable business success, with COVID-19 significantly accelerating this trend. Organizations have been compelled to adopt digital technologies to remain competitive in an increasingly demanding market. In Spain, the social economy sector has also embraced digitalization, supported by specific funding; however, social economy enterprises often struggle due to limited resources, hindering their ability to fully leverage digital advancements. The social economy includes organizations focused on social rather than financial objectives, characterized by democratic governance and efforts to address local social and economic challenges. This sector has seen the rise of social entrepreneurship initiatives aimed at tackling societal issues through sustainable and responsible business practices. Social entrepreneurship thus combines social and economic value creation, supporting social inclusion and sustainable development. This paper aims to assess the current literature on sustainable digitalization, the social economy, and social entrepreneurship through a bibliometric study, identifying key trends and areas of interest. Furthermore, it examines how digitalization is integrated within the business models of social economy enterprises. The study finds that while digitalization promotes innovation and sustainability in the social economy, organizations face challenges like limited resources and digital skills gaps. This hinders competitiveness. The research calls for tailored policies to address sector-specific needs and suggests further exploration of emerging technologies, such as artificial intelligence and big data, insocial enterprises.

 

 

Context: Recent research has revealed significant advancements in the field of traditional Chinese medicine (TCM) for skin diseases. However, there is a lack of visualization analysis within this research domain. Objective: To analyze the research directions and advancements in TCM research in skin diseases. Materials and methods: Publications related to TCM in skin diseases from 2014 to 2024 were searched on the Web of Science Core Collection (WoSCC), VOSviewer, CiteSpace, and the R package “bibliometrix” were employed to visualize and analyze the retrieved data. Results: The study included 527 articles published in 25 countries. The number of publications consistently increased from 2014 to 2024. The Guangzhou University of Chinese Medicine was the most noteworthy institution in this field. Among the journals in this domain, the Journal of Ethnopharmacology was the most popular, and most frequently co-cited journal. Chuanjian Lu published the most papers and Yin-Ku Lin was the most frequently co-cited author. Among keywords, “psoriasis” appeared the most frequently. Additionally, several emerging research hotspots were identified, indicating the transition from traditional Chinese therapies to investigations of the molecular interactions and network pharmacology of Chinese herbs in treatment of skin diseases over the past decade. Discussion and conclusion: This visualization analysis summarizes the research directions and advancements in TCM research on skin diseases. It presents a comprehensive examination of the latest research frontiers and trends and serves as a valuable reference for scholars engaged in the study of TCM research.