A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research

Catalá-López, Ferrán; Alonso-Arroyo, Adolfo; Page, Matthew J.; Castelló‐Cogollos, Lourdes; Hutton, Brian; Ridao, Manuel; Tabarés‐Seisdedos, Rafael; Aleixandre-Benavent, Rafaél; Moher, David

doi:10.1016/j.jclinepi.2023.02.001

Cited by 3 publications

(2 citation statements)

References 69 publications

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“…Como era de esperarse los autores e instituciones que más han contribuido a las publicaciones de las revistas analizadas son colombianos, aspecto que también se ha observado en revistas como British Medical Journal (Reino Unido), Annals of Internal Medicine (Estados Unidos) y Journal of Clinical Epidemiology (Estados Unidos) donde los autores que más han contribuido son de su propio país (Catalá-López et al, 2023). Que también se expresa en el país con mayor cantidad de redes tanto internas como externas con países como España en primer lugar, junto a Brasil y México, entre otros.…”

Section: Discussionunclassified

Revistas colombianas de Ciencias de la Actividad Física, Deporte y Educación física: Redes de Colaboración Científica (Colombian journals of Physical Activity, Sport and Physical Education: Scientific collaboration networks)

Cardozo,

Alfonso-Alfonso,

Murillo-Peña

et al. 2024

Retos

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Las ciencias de la actividad física, deporte y educación física (CADEF) son un campo interdisciplinar que estudia el movimiento humano y sus implicaciones para la salud, el bienestar y la sociedad. Este trabajo tiene como objetivo analizar las redes de colaboración (autores, instituciones y países) de las revistas de CADEF en Colombia. Se identificaron 11 revistas colombianas que cumplían con los criterios de inclusión, en las que se publicaron 675 manuscritos entre el 2018 y 2022. Los resultados muestran que la red de autores es pequeña y con baja densidad (0,003), lo que indica que la colaboración entre autores es relativamente baja, al igual que la red de instituciones (0,01). La red de países es la más grande y con mayor densidad (0,117), aunque la colaboración entre países sigue siendo relativamente moderada. Los autores colombianos son los más activos en la red de colaboración, seguidos de los autores brasileños, españoles y mexicanos. Las comunidades más activas en la red de colaboración son las de Colombia, Brasil, España, México y Ucrania. Finalmente, es importante promover la integridad y la relevancia de la investigación, impulsando así el avance del conocimiento científico. Palabras clave: Redes Científicas, Cienciometría, Investigadores, Indicador de Colaboración. Abstract. The sciences of physical activity, sport and physical education (CADEF) is an interdisciplinary field that studies human movement and its implications for health, well-being and society. This paper aims to analyze the collaborative networks (authors, institutions and countries) of CADEF journals in Colombia. Eleven Colombian journals were identified that met the inclusion criteria, in which 675 manuscripts were published between 2018 and 2022. The results show that the network of authors is small and with low density (0.003), indicating that collaboration between authors is relatively low, as is the network of institutions (0.01). The network of countries is the largest and with the highest density (0.117), although collaboration between countries remains relatively moderate. Colombian authors are the most active in the collaboration network, followed by Brazilian, Spanish and Mexican authors. The most active communities in the collaborative network are those of Colombia, Brazil, Spain, Mexico and Ukraine. Finally, it is important to promote the integrity and relevance of research, thus promoting the advancement of scientific knowledge. Keywords: Scientific Networks, Scientometrics, Researchers, Collaboration Indicator.

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Section: Discussionunclassified

Revistas colombianas de Ciencias de la Actividad Física, Deporte y Educación física: Redes de Colaboración Científica (Colombian journals of Physical Activity, Sport and Physical Education: Scientific collaboration networks)

Cardozo,

Alfonso-Alfonso,

Murillo-Peña

et al. 2024

Retos

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“…[28] Scientific research collaborations across borders can be visualized using coauthorship networks, often depicted in network charts. [29][30][31] To conduct science mapping analysis using network charts, various techniques and software tools are available, including Bibexcel, [32] CiteSpace, [33,34] CoPalRed, [35,36] IN-SPIRE, [37] Leydesdorff Software, Network Workbench Tool, [38,39] Science of Science (Sci2) Tool, [40] VantagePoint, [41] and VOSViewer. [42] However, traditional network charts have limitations, and chord network charts (CNCs) [43,44] offer a better understanding of member relations and clusters.…”

Section: Coauthorship Network and Scientific Collaborations Using Bib...mentioning

confidence: 99%

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis

Cheng,

Yu-Chieh Ho,

Chien

et al. 2023

Medicine

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Background: The field of critical care-related artificial intelligence (AI) research is rapidly gaining interest. However, there is still a lack of comprehensive bibliometric studies that measure and analyze scientific publications on a global scale. Network charts have traditionally been used to highlight author collaborations and coword phenomena (ACCP). It is necessary to determine whether chord network charts (CNCs) can provide a better understanding of ACCP, thus requiring clarification. This study aimed to achieve 2 objectives: evaluate global research trends in AI in intensive care medicine on publication outputs, coauthorships between nations, citations, and co-occurrences of keywords; and demonstrate the use of CNCs for ACCP in bibliometric analysis. Methods: The web of science database was searched for a total of 1992 documents published between 2013 and 2022. The document type was limited to articles and article reviews, and titles and abstracts were screened for eligibility. The characteristics of the publications, including preferred journals, leading research countries, international collaborations, top institutions, and major keywords, were analyzed using the category-journal rank-authorship-L-index score and trend analysis. The 100 most highly cited articles are also listed in detail. Results: Between 2018 and 2022, there was a sharp increase in publications, which accounted for 92.8% (1849/1992) of all papers included in the study. The United States and China were responsible for nearly 50% (936/1992) of the total publications. The leading countries, institutes, departments, authors, and journals in terms of publications were the US, Massachusetts Gen Hosp (US), Medical School, Zhongheng Zhang (China), and Science Reports. The top 3 primary keywords denoting research hotspots for AI in critically ill patients were mortality, model, and intensive care unit, with mortality having the highest burst strength (4.49). The keywords risk and system showed the highest growth trend (0.98) in counts over the past 4 years. Conclusions: This study provides valuable insights into the potential for ACCP and future research opportunities. For AI-based clinical research to become widely accepted in critical care practice, collaborative research efforts are necessary to strengthen the maturity and robustness of AI-driven models using CNCs for display.

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Creation of a Scientific System for Analyzing the Scientific Activities of a University as a Source of Innovation in the Production of Medicines

Sokolova,

Guryanov,

Salnikova

et al. 2023

Razrabotka i registraciâ lekarstvennyh sredstv

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Introduction. The creation of new medicines and their introduction into production depends, in particular, on the organization of scientific research in pharmaceutical universities. The ability to fully utilize all the material, financial and human resources available to a university determines the possibility of effectively generating pharmaceutical innovations. This, in turn, is possible if there are methods of scientific analysis of the process of scientific activity of a university.Aim. Creation of methods for scientific analysis of the process of scientific activity of a university, allowing, on the basis of regularly collected information about the scientific activity of departments, to identify areas for improving the organization of scientific research.Materials and methods. The study used logical, analytical-synthetic research methods, modeling, and the method of expert assessments. The scientific reports of the Perm State Pharmaceutical Academy (PSFA) departments for 2019 were studied.Results and discussion. A model of the functioning of the scientific activities of a university has been developed using the example of PSFA, reflecting the degree of interaction of individual departments with each other. Original methods for assessing the effectiveness of individual departments were developed based on the ratio of material, financial, and human resources invested in the work of the departments, and the scientific and practical output obtained as a result of scientific activities.Conclusion. The created model for organizing the scientific activities of the university made it possible to identify departments as “generators” and “successors of scientific research”, as well as the phenomenon of imbalance or lack of interaction between departments. Original methods for assessing human resources and scientific output of the department have been created. To evaluate the work of the department, a rule was formulated for the balance between the resources invested in the work of the department and the scientific result obtained, as well as the balance between the scientific output itself, expressed in scientific publications, and the practical output, expressed in received patents, grants and implementation acts.

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A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research

Cited by 3 publications

References 69 publications

Revistas colombianas de Ciencias de la Actividad Física, Deporte y Educación física: Redes de Colaboración Científica (Colombian journals of Physical Activity, Sport and Physical Education: Scientific collaboration networks)

Revistas colombianas de Ciencias de la Actividad Física, Deporte y Educación física: Redes de Colaboración Científica (Colombian journals of Physical Activity, Sport and Physical Education: Scientific collaboration networks)

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis

Creation of a Scientific System for Analyzing the Scientific Activities of a University as a Source of Innovation in the Production of Medicines

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