Identification and Characterisation of Technological Topics in the Field of Molecular Biology
10th International Conference on Science and Technology Indicators,, Austria (2008) 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...
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creator | Roche, Ivana Besagni, Dominique François, Claire Hörlesberger, Marianne Schiebel, Edgar L |
description | 10th International Conference on Science and Technology
Indicators,, Austria (2008) 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. |
doi_str_mv | 10.48550/arxiv.0910.4817 |
format | Article |
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Indicators,, Austria (2008) 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.</description><identifier>DOI: 10.48550/arxiv.0910.4817</identifier><language>eng</language><subject>Statistics - Applications</subject><creationdate>2009-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,777,882</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/0910.4817$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.0910.4817$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Roche, Ivana</creatorcontrib><creatorcontrib>Besagni, Dominique</creatorcontrib><creatorcontrib>François, Claire</creatorcontrib><creatorcontrib>Hörlesberger, Marianne</creatorcontrib><creatorcontrib>Schiebel, Edgar L</creatorcontrib><title>Identification and Characterisation of Technological Topics in the Field of Molecular Biology</title><description>10th International Conference on Science and Technology
Indicators,, Austria (2008) 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.</description><subject>Statistics - Applications</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFzrEKwjAUheEsDqLuTnJfwJqiRV0tFh3cskq5pLf2QkxKGsW-vaa6Ox04fMMvxDyVyWaXZXKF_sXPRO6HI92OxfVckQ1cs8bAzgLaCvIGPepAnrvv6WpQpBvrjLt9oAHlWtYdsIXQEBRMporo4gzph0EPB462n4pRjaaj2W8nYlEcVX5aDh1l6_mOvi9jTxl71n_BG_6NQOY</recordid><startdate>20091026</startdate><enddate>20091026</enddate><creator>Roche, Ivana</creator><creator>Besagni, Dominique</creator><creator>François, Claire</creator><creator>Hörlesberger, Marianne</creator><creator>Schiebel, Edgar L</creator><scope>EPD</scope><scope>GOX</scope></search><sort><creationdate>20091026</creationdate><title>Identification and Characterisation of Technological Topics in the Field of Molecular Biology</title><author>Roche, Ivana ; Besagni, Dominique ; François, Claire ; Hörlesberger, Marianne ; Schiebel, Edgar L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_0910_48173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Statistics - Applications</topic><toplevel>online_resources</toplevel><creatorcontrib>Roche, Ivana</creatorcontrib><creatorcontrib>Besagni, Dominique</creatorcontrib><creatorcontrib>François, Claire</creatorcontrib><creatorcontrib>Hörlesberger, Marianne</creatorcontrib><creatorcontrib>Schiebel, Edgar L</creatorcontrib><collection>arXiv Statistics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Roche, Ivana</au><au>Besagni, Dominique</au><au>François, Claire</au><au>Hörlesberger, Marianne</au><au>Schiebel, Edgar L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification and Characterisation of Technological Topics in the Field of Molecular Biology</atitle><date>2009-10-26</date><risdate>2009</risdate><abstract>10th International Conference on Science and Technology
Indicators,, Austria (2008) 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.</abstract><doi>10.48550/arxiv.0910.4817</doi><oa>free_for_read</oa></addata></record> |
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title | Identification and Characterisation of Technological Topics in the Field of Molecular Biology |
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