The Study of the Productivity, Impact and Correlation of Genetic Engineering Research - Using the Patent Bibliometrics Approach
Date Issued
2005
Date
2005
Author(s)
Lo, Szu-Chia
DOI
zh-TW
Abstract
The aim of this study is to reveal the productivity and the distribution of genetic engineering research by taking the patent bibliometrics approach. The principal countries, assignees, inventors and techniques are identified based on the findings and the ones have significant impacts on the development of research are recognized by the citation analysis. The citation analysis focuses on the USPTO patents that were cited by the obtained patents.
Besides the patent count, “Patent Coupling” is used in this study for the clustering analysis and citing relationship analysis is also conducted to establish the correlations among the entities. Two sets of indicators are designed in this study to show the correlations. Coupling Index and Coupling Strength are used for the Patent Coupling Analysis. Impact Index and Impact Index Ration are designed to show the level of influence.
The findings show that United States is the priority country both in productivity of and impact on the genetic engineering research. Japan, German, Great Britain, France and Canada are other important countries. University of California, Chiron and Cetus are the core assignees in genetic engineering research. Hillman, Corley, Gold, Stemmer and Rosen demonstrated better performances in productivity and Mullis, Saiki and Erlich are the inventors who have major impacts on the genetic engineering research. For the correlation analysis, it is found that the United State is a self-obtained entity and 3 other research clusters are identified among different countries. There are 7 clusters recognized among core assignees and the clusters found among the inventors are highly influenced by the research teams. No evidence shows that there is close correlation exists among the inventors who belong to different research teams.
Subjects
影響力
遺傳工程研究
專利計量學
生產力
Productivity
Patent Bibliometrics
Genetic Engineering Research
Impact Study
Type
thesis
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