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@article{Abdo2022,

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/full/10.1002/asi.24606},

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

year  = {2022},

date = {2022-07-01},

journal = {JASIST},

volume = {77},

issue = {7},

pages = {992-1011},

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.},

keywords = {},

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.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bras2017oncology,

title = {Oncology research in late twentieth century and turn of the century Portugal: a scientometric approach to its institutional and semantic dimensions},

author = {Oriana Rainho Brás and Jean-Philippe Cointet and Alberto Cambrosio and Leonor David and João Arriscado Nunes and Fátima Cardoso and Carmen Jerónimo},

url = {https://doi.org/10.1007/s11192-017-2491-y},

doi = {10.1007/s11192-017-2491-y},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {Scientometrics},

volume = {113},

number = {2},

pages = {867-888},

publisher = {Springer},

abstract = {This paper analyses the developmental dynamics of oncology research in Portugal during the second half of the twentieth century and early twenty first century. Grounding its conclusions in a scientometric analysis of a database of publications covering the period 1976–2015, the paper shows how the expansion of oncology research from the end of the 1990s through the 2000s is closely related to science and technology policy decisions in the country. The main actors of the institutional evolution of the field are public organizations, both hospital and academia/research-based, frequently working together. Portuguese oncology research focused especially on organ-based cancers, underlining the strong link between the laboratory and the clinic. Accordingly, translational research is a major trend in oncology research, as evidenced by the analysis of publications in major journals and inter-citation maps. Networks of institutional co-authorships show the importance of regional and international collaborations. The collaboration patterns over time reveal the importance of national and European collaborations during the initial years covered by our publication database, in line with the major impact of Portugal’s integration into the European Union, and a growing importance of regional collaborations, as well as with North and South American institutions in more recent years. Portugal provides a case study of how twentieth century policies at the national and European levels have impacted on the evolution of oncology research in countries from southern Europe.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}