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Scientometrics
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arXiv.org e-Print Archive
Preprint . 2009
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Conference object . 2008
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Scientometrics
Article . 2010 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2009
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Scientometrics
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Identification and characterisation of technological topics in the field of Molecular Biology

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 10 Feb 2010Embargo end date: 01 Jan 2009 English Publisher:Springer Science and Business Media LLCJournal:Scientometrics, volume 82, pages 663-676 (issn: 0138-9130, eissn: 1588-2861, Copyright policy )
Authors: Roche, Ivana; Besagni, Dominique; François, Claire; Hörlesberger, Marianne; Schiebel, Edgar;

doi: 10.1007/s11192-010-0178-8 , 10.48550/arxiv.0910.4817

arXiv: http://arxiv.org/abs/0910.4817

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

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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Keywords

FOS: Computer and information sciences, Emerging technologies, [STAT.AP] Statistics [stat]/Applications [stat.AP], Diachronic clustering, [SPI.OTHER] Engineering Sciences [physics]/Other, Diffusion model, Applications (stat.AP), Bibliometric indicators, Statistics - Applications, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, Terminology evolution

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 25
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
Green
bronze
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