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Feasibility of activity-based expert profiling using text mining of scientific publications and patents.

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Title: Feasibility of activity-based expert profiling using text mining of scientific publications and patents.
Authors: Bukowski, Mark1, bukowski@ame.rwth-aachen.de, Geisler, Sandra2, Schmitz-Rode, Thomas3, Farkas, Robert1
Source: Scientometrics; May2020, Vol. 123 Issue 2, p579-620, 42p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 142943455
AccessLevel: 2
PubType: Academic Journal
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  Data: Feasibility of activity-based expert profiling using text mining of scientific publications and patents.
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  Data: <searchLink fieldCode="JN" term="%22Scientometrics%22">Scientometrics</searchLink>; May2020, Vol. 123 Issue 2, p579-620, 42p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=142943455
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      – Type: doi
        Value: 10.1007/s11192-020-03414-8
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      – Code: eng
        Text: English
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      – TitleFull: Feasibility of activity-based expert profiling using text mining of scientific publications and patents.
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