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Knowledge-transfer analysis based on co-citation clustering
Wang, Xuezhao1; Zhao, Yajuan1; Liu, Rui2; Zhang, Jing1
Source PublicationSCIENTOMETRICS
AbstractBased on co-citation cluster analysis, we propose a knowledge-transfer analysis model for any technology field. In this model, patent data with backward citations to non-patent literature and forward citations by later patents would be analyzed. Co-citation clustering of the cited articles defines scientific knowledge sources, while that of the patents themselves defines technology fronts. According to the citation between the article and patent clusters, the landscape of knowledge-transfer including route and strength between scientific knowledge sources and technology fronts can be mapped out. The model has been applied to the field of transgenic rice. As a result of the analysis, ten scientific knowledge sources and eight technology fronts have emerged, and reasonable links between them have been established, which clearly show how knowledge has been transferred in this field.
KeywordKnowledge-transfer Co-citation Cluster Analysis Transgenic Rice
WOS HeadingsScience & Technology ; Technology
Indexed BySCI ; SSCi
WOS Research AreaComputer Science ; Information Science & Library Science
WOS SubjectComputer Science, Interdisciplinary Applications ; Information Science & Library Science
WOS IDWOS:000327219900019
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Document Type期刊论文
Affiliation1.Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Phys, Beijing 100080, Peoples R China
First Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
Wang, Xuezhao,Zhao, Yajuan,Liu, Rui,et al. Knowledge-transfer analysis based on co-citation clustering[J]. SCIENTOMETRICS,2013,97(3):859-869.
APA Wang, Xuezhao,Zhao, Yajuan,Liu, Rui,&Zhang, Jing.(2013).Knowledge-transfer analysis based on co-citation clustering.SCIENTOMETRICS,97(3),859-869.
MLA Wang, Xuezhao,et al."Knowledge-transfer analysis based on co-citation clustering".SCIENTOMETRICS 97.3(2013):859-869.
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