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dc.contributor.authorLeydesdorff, Loet
dc.date.accessioned2002-08-09T00:00:01Z
dc.date.available2010-06-18T23:24:00Z
dc.date.issued2001en_US
dc.date.submitted2002-08-09en_US
dc.identifier.citationIndicators of Innovation in a Knowledge-based Economy 2001, 5(1) Cybermetricsen_US
dc.identifier.urihttp://hdl.handle.net/10150/105342
dc.description.abstractThe concept of â modes of knowledge productionâ was used by Gibbons et al. (1994)[1] to distinguish between transdisciplinary (â Mode 2â ) R&D and more traditional (â Mode 1â ) research. This paper explores whether the Internet provides a means to operationalize â Mode 2â knowledge production as containing a differently codified communication pattern which can be compared to co-word and citation patterns in scientometric databases (â Mode 1â ). Innovations on the drugs market, for example, can be indicated at the commercial end by using the trade names of the drugs (e.g., Evista), while the very same innovation can be retrieved in the patent and science citation databases using the generic names of the active substances involved (in this case, raloxifene). By using the generic names the new drugs can be traced back into their respective knowledge bases.
dc.format.mimetypetext/htmlen_US
dc.language.isoenen_US
dc.subjectScience Technology Studiesen_US
dc.subject.otherinnovationen_US
dc.subject.otherpharmaen_US
dc.subject.otherscientometricsen_US
dc.subject.othercitationen_US
dc.subject.othersearchen_US
dc.subject.otherknowledgeen_US
dc.titleIndicators of Innovation in a Knowledge-based Economyen_US
dc.typeJournal (On-line/Unpaginated)en_US
dc.identifier.journalCybermetricsen_US
html.description.abstractThe concept of â modes of knowledge productionâ was used by Gibbons et al. (1994)[1] to distinguish between transdisciplinary (â Mode 2â ) R&D and more traditional (â Mode 1â ) research. This paper explores whether the Internet provides a means to operationalize â Mode 2â knowledge production as containing a differently codified communication pattern which can be compared to co-word and citation patterns in scientometric databases (â Mode 1â ). Innovations on the drugs market, for example, can be indicated at the commercial end by using the trade names of the drugs (e.g., Evista), while the very same innovation can be retrieved in the patent and science citation databases using the generic names of the active substances involved (in this case, raloxifene). By using the generic names the new drugs can be traced back into their respective knowledge bases.


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