Identification and Characterisation of Technological Topics in the Field of Molecular Biology
Ivana Roche (INIST), Dominique Besagni (INIST), Claire Fran\c{c}ois, (INIST), Marianne H\"orlesberger (ARCS), Edgar L Schiebel (ARCS)

TL;DR
This paper presents a diachronic clustering and bibliometric analysis method to identify and characterize technological topics within molecular biology, providing visual insights into the field's evolution over the past decade.
Contribution
It introduces a novel diachronic clustering approach combined with bibliometric indicators for analyzing technological topics in scientific literature.
Findings
Effective visualization of molecular biology's technological evolution
Identification of key topics and trends over the last decade
Method demonstrated using the Stanalyst software tool
Abstract
This paper focuses on methodological approaches for characterising the specific topics within a technological field based on scientific literature data. We introduce a diachronic clustering analysis approach and some bibliometric indicators. The results are visualised with the software-tool Stanalyst [1]. We are applying our methods to the field "Molecular Biology". This field has grown a great deal in the last decade.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Semantic Web and Ontologies · Web visibility and informetrics
