CorText Manager around the world

@article{Penteado2021d,

title = {Mapeando a dinâmica da informática médica: uma análise bibliométrica do campo científico},

author = {Bruno Elias Penteado and Marcelo Fornazin and Leonardo Castro and Sandro Luis Freire},

url = {https://www.reciis.icict.fiocruz.br/index.php/reciis/article/view/2395},

doi = {10.29397/reciis.v15i4.2395},

issn = {1981-6278},

year  = {2021},

date = {2021-12-01},

journal = {Revista Eletrônica de Comunicação},

volume = {15},

issue = {4},

pages = {869-889},

abstract = {A saúde digital é um assunto emergente em fóruns acadêmicos, nas políticas públicas e nas organizações de saúde. Supondo que a saúde digital deriva de conhecimentos da informática médica, este artigo apresenta resultados de uma pesquisa bibliométrica sobre a evolução conceitual e tecnológica do campo da informática médica nas últimas décadas, enfatizando aspectos metodológicos. O trabalho realizou bibliometria em metadados de 100 mil artigos indexados sob a categoria ‘medical informatics’ na base de dados Web of Science entre os anos de 1960 e 2020. Foram realizadas análises longitudinais com utilização dos softwares Bibliometrix e CorText em três eixos: quantidade de publicações, países dos autores e palavras-chave. Conforme a hipótese metodológica que orientou o estudo, as mudanças terminológicas verificadas ao longo do tempo oferecem uma visão aproximativa das mudanças conceituais e tecnológicas do campo de pesquisa da informática médica. Os resultados mostram que esse campo de investigação apresentou crescimento consistente ao longo das últimas seis décadas, expandindo-se para diferentes países. As mudanças terminológicas e conceituais detectadas pela análise de palavras-chave permitiram a identificação de períodos temporais definidos, associados a rótulos genéricos como ‘health informatics’, ‘e-health’. O rótulo ‘medical informatics’ é recorrente como termo mais geral a designar o campo de aplicação, em razão de sua adoção por associações científicas internacionais a partir da década de 1970. Nos últimos cincos anos, pode-se identificar a emergência do termo ‘digital health’, que possivelmente será o conceito dominante na década que se inicia. A análise de palavras-chave também indica a associação entre mudanças terminológicas e de tecnologias, o que reforça as relações entre conceitos e aplicações tecnológicas de cada período.



Digital health is an emerging topic in academic forums, public policies, and healthcare organizations. Assuming that digital health derives from previous medical informatics knowledge, this work presents findings from a bibliometric study on medical informatics technological and conceptual evolution in the last decades, emphasizing methodological aspects. We performed a bibliometric analysis in metadata from 100,000 papers indexed under the category ‘medical informatics’ in the Web of Science database between 1960 and 2020. Longitudinal analysis using software Bibliometrix and CorText were conducted in three axes: frequency of items, authors’ countries, and keywords. Based on the methodological hypothesis guiding the study, the changes in keywords over time offer a proxy view on the conceptual and technological changes in the medical informatics research field. The results show that medical informatics consistently grew over the last six decades, expanding to several countries. Conceptual and technological changes that emerged from the keyword analysis supported the identification of well delimited periods related to general labels, such as: ‘health informatics’ and ‘e-health’. The ‘medical informatics’ is recurring as a general label due to international scientific associations’ adoption since the early 1970s. Moreover, in the last five years, we could identify the term ‘digital health’, which will probably be a major label in the next decade. The keyword analysis also showed the association between labels and technological changes, adding more evidence that these changes are related to concepts and technological applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{León-Vargas2021,

title = {Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis},

author = {Fabian León-Vargas and Jineth Andrea Arango Oviedo and Héctor Javier Luna Wandurraga},

url = {https://doi.org/10.1177/19322968211005500},

doi = {10.1177/19322968211005500},

year  = {2021},

date = {2021-04-15},

urldate = {2021-04-15},

journal = {Journal of Diabetes Science and Technology},

volume = {0},

number = {0},

pages = {19322968211005500},

abstract = {Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there is a lack of systematic, chronological, and synthesizing studies that show the background of the knowledge generation in this field. This study implements a bibliometric analysis to recognize the main documents, type of publications, research categories, countries, keywords, organizations, and authors related to this topic.Methods:Web of Science core collection database was accessed from 2000 to 2020 in order to select high-quality scientific documents based on a specific search query. Bibexcel, MS Excel, Power BI, R-Studio, VOSviewer, and CorText software were used for a descriptive and network analysis based on the local database obtained. Bibliometric parameters as the h-index, frequencies, co-authorship and co-ocurrences were computed.Results:A total of 756 documents were included that show a growing scientific production on this topic with an increasing contribution from engineering. Outstanding authors, organizations, and countries were identified. An analysis of trends in research was conducted according to the scientific categories of the Web of Science database to identify the main research interests of the last 2 decades and the emerging areas with greater prominence in the coming years. A keyword network analysis allowed to identify the main stages in the development of the AP research over time.Conclusions:Results reveal a comprehensive background of the knowledge generation for the AP topic during the last 2 decades, which has been strengthened with international collaborations and a remarkable interdisciplinarity between endocrinology and engineering, giving rise to a growing number of research areas over time, where computer science and medical informatics stand out as the main emerging research areas.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xu2021,

title = {Exploring the Interdisciplinary Nature of Precision Medicine：Network Analysis and Visualization},

author = {Xin Xu and Jiming Hu and Xiaoguang Lyu and Huang He and Cheng Xingyu },

doi = {10.2196/23562 },

year  = {2021},

date = {2021-01-11},

urldate = {2021-01-11},

journal = {JMIR Medical Informatics},

abstract = {The aim of this study is to present the nature of interdisciplinary collaboration in precision medicine based on co-occurrences and social network analysis. A total of 7544 studies about precision medicine, published between 2010 and 2019, were collected from the Web of Science database. We analyzed interdisciplinarity with descriptive statistics, co-occurrence analysis, and social network analysis. An evolutionary graph and strategic diagram were created to clarify the development of streams and trends in disciplinary communities. The results indicate that 105 disciplines are involved in precision medicine research and cover a wide range. However, the disciplinary distribution is unbalanced. Current cross-disciplinary collaboration in precision medicine mainly focuses on clinical application and technology-associated disciplines. The characteristics of the disciplinary collaboration network are as follows: (1) disciplinary cooperation in precision medicine is not mature or centralized; (2) the leading disciplines are absent; (3) the pattern of disciplinary cooperation is mostly indirect rather than direct. There are 7 interdisciplinary communities in the precision medicine collaboration network; however, their positions in the network differ. Community 4, with disciplines such as genetics and heredity in the core position, is the most central and cooperative discipline in the interdisciplinary network. This indicates that Community 4 represents a relatively mature direction in interdisciplinary cooperation in precision medicine. Finally, according to the evolution graph, we clearly present the development streams of disciplinary collaborations in precision medicine. We describe the scale and the time frame for development trends and distributions in detail. Importantly, we use evolution graphs to accurately estimate the developmental trend of precision medicine, such as biological big data processing, molecular imaging, and widespread clinical applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Deng2020,

title = {Exploring the topic structure and evolution of associations in information behavior research through co-word analysis},

author = {Shengli Deng and Sudi Xia and Jiming Hu and Hongxiu Li and Yong Liu },

doi = {https://doi.org/10.1177/0961000620938120},

year  = {2020},

date = {2020-07-01},

urldate = {2020-07-01},

journal = {Journal of Librarianship and Information Science},

abstract = {This study aims to reveal the distribution of topics, and the associations among them, in information behavior research from 2009 to 2018. Working with a collection of 6744 publications from the Web of Science database, co-word analysis is used to investigate the overall topic structure, the associations among the topics, and their evolution in different years, which is supplemented by visualization with science maps. The results uncovered an unbalanced distribution of topics, and that the topics cluster into six communities representing subdivisions of this field: information behavior in patient-centered studies; information interaction in the digital environment; information literacy in health and academic contexts; health literacy on the Internet; information behavior in child-centered studies; and information behavior in medical informatics. The findings supplement and provide refinements to work on the state of this field, and help researchers obtain an overview of the past decade to guide their future work.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}