Scientific workflows for bibliometrics

Scientific workflows organize the assembly of specialized software into an overall data flow and are particularly well suited for multi-step analyses using different types of software tools. They are also favorable in terms of reusability, as previously designed workflows could be made publicly available through the myExperiment community and then used in other workflows. We here illustrate how scientific workflows and the Taverna workbench in particular can be used in bibliometrics. We discuss the specific capabilities of Taverna that makes this software a powerful tool in this field, such as automated data import via Web services, data extraction from XML by XPaths, and statistical analysis and visualization with R. The support of the latter is particularly relevant, as it allows integration of a number of recently developed R packages specifically for bibliometrics. Examples are used to illustrate the possibilities of Taverna in the fields of bibliometrics and scientometrics.Proteomic

Scientific workflows for bibliometrics

Scientific workflows organize the assembly of specialized software into an overall data flow and are particularly well suited for multi-step analyses using different types of software tools. They are also favorable in terms of reusability, as previously designed workflows could be made publicly available through the myExperiment community and then used in other workflows. We here illustrate how scientific workflows and the Taverna workbench in particular can be used in bibliometrics. We discuss the specific capabilities of Taverna that makes this software a powerful tool in this field, such as automated data import via Web services, data extraction from XML by XPaths, and statistical analysis and visualization with R. The support of the latter is particularly relevant, as it allows integration of a number of recently developed R packages specifically for bibliometrics. Examples are used to illustrate the possibilities of Taverna in the fields of bibliometrics and scientometrics

BIBLIOMETRIC ANALYSIS OF CHEMISTRY NOBEL LAUREATE GEORGE PEARSON SMITH

The scientometric analysis of Nobel Laureate George P. Smith, who had been awarded the Nobel Prize in chemistry in 2018, reveals that the author has published 55 papers in various fields between 1971 and 2019. The subjects included 26 articles in Biomolecular Interactions, 17 papers in Genomics, 10 in Protein, and 2 in Evolutionary Biology. The forms of publications included 45 article papers, 1 book chapter, 2 editorials, 6 reviews, and 1 short survey. 17 of his publications were single-authored, 18 two authored, 9 three and four authored, and 1 five and six authored. The highest no papers were published during the period 1991 - 2000. He has published the highest no papers (6) in BIOTECHNIQUES

Application of artificial intelligence in COVID-19 pandemic : bibliometric analysis

The application of artificial intelligence (AI) to health has increased, including to COVID-19. This study aimed to provide a clear overview of COVID-19-related AI publication trends using longitudinal bibliometric analysis. A systematic literature search was conducted on the Web of Science for English language peer-reviewed articles related to AI application to COVID-19. A search strategy was developed to collect relevant articles and extracted bibliographic information (e.g., country, research area, sources, and author). VOSviewer (Leiden University) and Bibliometrix (R package) were used to visualize the co-occurrence networks of authors, sources, countries, institutions, global collaborations, citations, co-citations, and keywords. We included 729 research articles on the application of AI to COVID-19 published between 2020 and 2021. PLOS One (33/729, 4.52%), Chaos Solution Fractals (29/729, 3.97%), and Journal of Medical Internet Research (29/729, 3.97%) were the most common journals publishing these articles. The Republic of China (190/729, 26.06%), the USA (173/729, 23.73%), and India (92/729, 12.62%) were the most prolific countries of origin. The Huazhong University of Science and Technology, Wuhan University, and the Chinese Academy of Sciences were the most productive institutions. This is the first study to show a comprehensive picture of the global efforts to address COVID-19 using AI. The findings of this study also provide insights and research directions for academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these domains in the future

Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis

BACKGROUND: Due to the widespread and unprecedented popularity of mobile phones, the use of digital medicine and mobile health apps has seen significant growth. Mobile health apps have tremendous potential for monitoring and treating diseases, improving patient care, and promoting health. OBJECTIVE: This paper aims to explore research trends, coauthorship networks, and the research hot spots of mobile health app research. METHODS: Publications related to mobile health apps were retrieved and extracted from the Web of Science database with no language restrictions. Bibliographic Item Co-Occurrence Matrix Builder was employed to extract bibliographic information (publication year and journal source) and perform a descriptive analysis. We then used the VOSviewer (Leiden University) tool to construct and visualize the co-occurrence networks of researchers, research institutions, countries/regions, citations, and keywords. RESULTS: We retrieved 2802 research papers on mobile health apps published from 2000 to 2019. The number of annual publications increased over the past 19 years. JMIR mHealth and uHealth (323/2802, 11.53%), Journal of Medical Internet Research (106/2802, 3.78%), and JMIR Research Protocols (82/2802, 2.93%) were the most common journals for these publications. The United States (1186/2802, 42.33%), England (235/2802, 8.39%), Australia (215/2802, 7.67%), and Canada (112/2802, 4.00%) were the most productive countries of origin. The University of California San Francisco, the University of Washington, and the University of Toronto were the most productive institutions. As for the authors\u27 contributions, Schnall R, Kuhn E, Lopez-Coronado M, and Kim J were the most active researchers. The co-occurrence cluster analysis of the top 100 keywords forms 5 clusters: (1) the technology and system development of mobile health apps; (2) mobile health apps for mental health; (3) mobile health apps in telemedicine, chronic disease, and medication adherence management; (4) mobile health apps in health behavior and health promotion; and (5) mobile health apps in disease prevention via the internet. CONCLUSIONS: We summarize the recent advances in mobile health app research and shed light on their research frontier, trends, and hot topics through bibliometric analysis and network visualization. These findings may provide valuable guidance on future research directions and perspectives in this rapidly developing field

Potential of the Crypto Economy in Financial Management and Fundraising for Tourism

[EN] This study aims to examine the potential of blockchain technology in the financing and financial management of entrepreneurial tourism projects. It highlights two objectives: how the technology can be used as an alternative financing tool and how it can improve efficiency and transparency in the financial management of tourism companies. This study shows that initial coin offerings are an effective way to finance innovative tourism projects and that blockchain technology can improve the competitiveness and efficiency of tourism companies. Due to the lack of empirical data on the actual implementation and impact of blockchain technology in the tourism industry, it is suggested that further research is needed to examine the practical application of blockchain technology in the tourism industry, its potential impact on tourism businesses and its implications for the regulatory framework. The proposed methodology includes a systematic literature review on the application of blockchain technology for the financing of tourism projects and the financial improvement of tourism business models. The results indicate that blockchain technology has the potential to transform the financing and financial management of the tourism industry and improve its efficiency and transparency. Furthermore, combining blockchain with other technologies can provide additional benefits in supply chain management and event automation.Prados-Castillo, JF.; Solano-Sánchez, MÁ.; Guaita-Fernández, P.; Guaita Martínez, JM. (2023). Potential of the Crypto Economy in Financial Management and Fundraising for Tourism. Sustainability. 15(6):1-15. https://doi.org/10.3390/su1506497811515

Gamification as a Promoting Tool of Motivation for Creating Sustainable Higher Education Institutions

Higher Educational Institutions (HEIs) are responsible for creating healthy and sustainable environments for students and teachers through diverse educational paradigms such as gamification. In this sense, the Healthy People 2030 and the Sustainable Development Goals indicated the imperative to provide inclusive and equitable quality education to promote a healthy environment and life. The principal objective was to analyse the impact of gamification on health development in HEIs, highlighting their positive and negative effects. To achieve such an objective, a bibliometric analysis was carried out. The 257 documents showed no significant increasing trend in the last decade (p > 0.05) related to the pandemic. Most of the publications were conferences (45%), and the few published articles were the documents with more citations (p < 0.001). According to their index in Journal Citation Reports, there were significant differences between the citations of articles published in journals (p < 0.001). The analysis of journal co-citations showed that the leading journals (such as Computers in Human Behavior) had a significant part in the clusters formed (p < 0.001), conditioning also the keywords, especially the term “motivation”. These findings were discussed, concluding that the experimental studies focused on the teachers’ adverse effects are yet to come

The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies

In recent years, statistical methods such as bibliometrics have increasingly intensified to analyse books, articles, and other publications. Bibliometric methods, as techniques to measure the information distribution models, are frequently used in the field of information science and social research. The main purpose of this article is to offer scholars a general framework for the comparison between positive and negative aspects of bibliometrics, on the methods and tools used. Therefore, both the strengths and the critical points will be highlighted, to obtain a complete and detailed overview of the entire argument. In the methodological part, a bibliometric analysis will be applied to various case studies, such as with the Generalized Error Distribution, analysing and commenting on the data, and using the Bibliometrix software. The results suggest that in the future there will be greater consolidation of bibliometrics, as the introduction of increasingly advanced technologies will create new tools and methods characterized by a high degree of automation and speed

Estudos sobre covid-19 e reflexos sobre a saúde em territorios vulneráveis e em favelas: uma revisão sistemática

A pandemia da covid-19 trouxe vários impactos sociais de maneira global, contudo, a favela e suas comunidades são considerados grupos com maior vulnerabilidade. A ausência de saneamento básico, as residências precárias, a baixa renda ou nenhuma, e o desemprego são fatores que difere os impactos gerados pela covid-19 sobre esse público específico, se comparado com as demais localidades. Tendo tais parâmetros estabelecidos como de grande preocupação, determinou-se a pergunta foco desta pesquisa: O que está sendo produzido pelos pesquisadores sobre a temática da COVID-19 em territórios vulneráveis e em favelas? Com o intuito de responder a pergunta investigativa e considerando que não há estudos que abordem esse assunto a partir de uma revisão sistemática, este artigo objetiva analisar a produção científica em periódicos indexados na coleção Web of Science sobre a COVID-19 e favelas. Como resultados, se identifica destaque na quantidade de estudos produzidos na índia e no Brasil, apesar de pouco citados, e que o mapa de co-ocorrência evidencia a potencialidade da receptividade de estudos temáticos sobre populações e sua realidade local de vulnerabilidade.