The Development of Research Topic in Immunology by the Automatic Topic Analysis

碩士 === 國立臺灣師範大學 === 圖書資訊學研究所在職進修碩士班 === 98 === Immunology is the most important part of medical sciences, which is discussing the immune system of human body. The research topic of immunolgy is important for human society, and we should understand the hot topic of immunology. The main object...

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Bibliographic Details
Main Authors: CHEN, Shu-Chen, 陳淑貞
Other Authors: 曾元顯
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/56681818993015640607
Description
Summary:碩士 === 國立臺灣師範大學 === 圖書資訊學研究所在職進修碩士班 === 98 === Immunology is the most important part of medical sciences, which is discussing the immune system of human body. The research topic of immunolgy is important for human society, and we should understand the hot topic of immunology. The main objective of this research is to apply automatic cluster analysis tool to find the hot topic and the topic map of immunology. This research was collected the Highly Cited Papers and Hot Papers of immunology in ten years (1998~2007) from ESI Dababase. Three ways of automatic cluster tools which are co-word analysis, bibliography coupling and MeSH term are applied. In order to choose the best result to represent the hot topic of immunology, this research was also invited five immunology experts to read three results of the cluster analysis. Finally, all experts think the topic from bibliography coupling cluster analysis is the most representive to this research. This research was studied the community of 15 topics which are depended on the bibliography coupling cluster analysis. The tool in this research is called Content Analysis Toolkit for Academic Research (CATAR). The main results of this research are the 15 topics of immunology and the community of each topic. Finally, all immunology researchers can take benefits of the results for reference.