Identification and characterisation of technological topics in the field of Molecular Biology

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• 作者：Ivana Roche (1)
  Dominique Besagni (1)
  Claire Fran?ois (1)
  Marianne H?rlesberger (2)
  Edgar Schiebel (2)
  
• 关键词：Emerging technologies ; Bibliometric indicators ; Terminology evolution ; Diffusion model ; Diachronic cluster analysis
• 刊名：Scientometrics
• 出版年：2010
• 出版时间：March 2010
• 年：2010
• 卷：82
• 期：3
• 页码：663-676
• 全文大小：309KB
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• 作者单位：Ivana Roche (1)
  Dominique Besagni (1)
  Claire Fran?ois (1)
  Marianne H?rlesberger (2)
  Edgar Schiebel (2)
  
  1. INIST-CNRS, 2 allée du Parc de Brabois, CS 10310, 54519, Vandoeuvre-lès-Nancy, France
  2. AIT Austrian Institute of Technology GmbH, Tech Gate Vienna, Donau-City-Stra?e 1, 1220, Wien, Austria
  
• ISSN：1588-2861

文摘

Following up the European project PromTech the aim of which was to detect emerging technologies by studying the scientific literature, we chose one field, Molecular Biology, to identify and characterize emerging topics within that domain. We combined two analytical approaches: the first one introduces a model of the terminological evolution of the field based on bibliometric indicators and the second one operates a diachronic clustering analysis. Our objective is to bring answers to questions such as: Which technological aspects can be detected? Which of them are already established and which of them are new? How are the topics linked to each other?