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Title: Knowledge-transfer analysis based on co-citation clustering
Author: Wang, XueZhao(王学昭)1; Zhao, YaJuan(赵亚娟)1; Liu, Rui2; Zhang, Jing(张静)1
Source: SCIENTOMETRICS
Issued Date: 2013-11-30
Volume: 97, Issue:3, Pages:859-869
Keyword: Knowledge-transfer ; Co-citation ; Cluster analysis ; Transgenic rice
Indexed Type: SCI ; SSCi
DOC Type: Article
English Abstract: Based 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.
WOS Headings: Science & Technology ; Technology
WOS Subject: Computer Science, Interdisciplinary Applications ; Information Science & Library Science
WOS Subject Extended: Computer Science ; Information Science & Library Science
WOS Keyword Plus: SCIENTIFIC LITERATURE ; SCIENCE ; PATENTS ; PROTOPLASTS ; TECHNOLOGY ; PLANTS ; GENE
Language: 英语
WOS ID: WOS:000327219900019
Citation statistics:
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/7602
Appears in Collections:中国科学院文献情报中心_情报研究部_期刊论文

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description.institution: 1.Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Phys, Beijing 100080, Peoples R China

Recommended Citation:
Wang, Xuezhao,Zhao, Yajuan,Liu, Rui,et al. Knowledge-transfer analysis based on co-citation clustering[J]. SCIENTOMETRICS,2013,97(3):859-869.
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