A research infrastructure for the social sciences & humanities

@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.},

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pubstate = {published},

tppubtype = {article}

}

@article{Abdo2021,

title = {Domain-topic models with chained dimensions: Charting an emergent domain of a major oncology conference},

author = {Alexandre Hannud Abdo and Jean-Philippe Cointet and Pascale Bourret and Alberto Cambrosio},

url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24606},

doi = {https://doi.org/10.1002/asi.24606},

year  = {2021},

date = {2021-11-24},

urldate = {2021-11-24},

journal = {Canadian Institutes of Health Research},

abstract = {This paper presents a contribution to the study of bibliographic corpora through science mapping. From a graph representation of documents and their textual dimension, stochastic block models can provide a simultaneous clustering of documents and words that we call a domain-topic model. Previous work investigated the resulting topics, or word clusters, while ours focuses on the study of the document clusters we call domains. To enable the description and interactive navigation of domains, we introduce measures and interfaces that consider the structure of the model to relate both types of clusters. We then present a procedure that extends the block model to cluster metadata attributes of documents, which we call a domain-chained model, noting that our measures and interfaces transpose to metadata clusters. We provide an example application to a corpus relevant to current science, technology and society (STS) research and an interesting case for our approach: the abstracts presented between 1995 and 2017 at the American Society of Clinical Oncology Annual Meeting, the major oncology research conference. Through a sequence of domain-topic and domain-chained models, we identify and describe a group of domains that have notably grown through the last decades and which we relate to the establishment of “oncopolicy” as a major concern in oncology.},

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pubstate = {published},

tppubtype = {article}

}

@article{Shen2021,

title = {Research landscape and hot topics of rooftop PV: A bibliometric and network analysis},

author = {Yuanfei Shen and Ling Ji and Yulei Xie and Guohe Huang and Xin Li and Lucheng Huang},

url = {https://www.sciencedirect.com/science/article/pii/S0378778821006174},

doi = {https://doi.org/10.1016/j.enbuild.2021.111333},

issn = {0378-7788},

year  = {2021},

date = {2021-11-15},

urldate = {2021-11-15},

journal = {Energy and Buildings},

volume = {251},

pages = {111333},

abstract = {Rooftop photovoltaic (PV) system, as part of the renewable energy development strategy to guarantee energy security and reduce greenhouse gas emissions in urban areas, has received a lot of attention during the last decade. To provide an up-to-date and systematic research landscape of the rooftop PV field, this study conducted the bibliometric analysis, collaboration network analysis, co-citation analysis, and hotspots detection based on 595 articles collected from the core collection database of Web of Science. The results showed that the number of publications per year in this field has increased steadily since 2015. The USA was the most important contributor in this research field in terms of quantity (number of publications) and impact (number of citations). The co-authorship communities were obtained by collaboration network analysis, and the international collaboration is expected to be further strengthened according to the research focuses of each community. The key knowledge base and the main hot topics of the rooftop PV research field were identified from co-citation analysis and keywords co-occurrence network. Furthermore, based on the literature review, a detailed analysis of the main topics was provided for a better understanding of the current research trends and opportunities. This study can be served as a strategic review of the rooftop PV field to help relevant researchers carry out in-depth research in the future.},

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pubstate = {published},

tppubtype = {article}

}

@article{Zhao2021,

title = {Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles},

author = {Yi Zhao and Lifan Liu and Chengzhi Zhang},

doi = {https://doi.org/10.1016/j.techfore.2021.121344},

year  = {2021},

date = {2021-11-08},

urldate = {2021-11-08},

journal = {Technological Forecasting and Social Change},

volume = {121344},

abstract = {The outbreak of coronavirus disease 2019 (COVID-19) has had a significant repercussion on the health, economy, politics and environment, making coronavirus-related issues more complicated and difficult to adequately address by relying on a single field. Interdisciplinary research can provide an effective solution to complex issues in the related field of coronavirus. However, whether coronavirus-related research becomes more interdisciplinary still needs corroboration. In this study, we investigate interdisciplinary status of the coronavirus-related fields via the COVID-19 Open Research Dataset (CORD-19). To this end, we calculate bibliometric indicators of interdisciplinarity and apply a co-occurrence analysis method. The results show that co-occurrence relationships between cited disciplines have evolved dynamically over time. The two types of co-occurrence relationships, Immunology and Microbiology & Medicine and Chemical Engineering & Chemistry, last for a long time in this field during 1990–2020. Moreover, the number of disciplines cited by coronavirus-related research increases, whereas the distribution of disciplines is uneven, and this field tends to focus on several dominant disciplines such as Medicine, Immunology and Microbiology, Biochemistry, Genetics and Molecular Biology. We also measure the disciplinary diversity of COVID-19 related papers published from January to December 2020; the disciplinary variety shows an upward trend, while the degree of disciplinary balance shows a downward trend. Meanwhile, the comprehensive index 2Ds demonstrates that the degree of interdisciplinarity in coronavirus field decreases between 1990 and 2019, but it increases in 2020. The results help to map the interdisciplinarity of coronavirus-related research, gaining insight into the degree and history of interdisciplinary cooperation.},

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pubstate = {published},

tppubtype = {article}

}