以自動化主題分析探索免疫學領域研究主題之發展 The Development of Research Topic in Immunology by the Automatic Topic Analysis

Date
2010
Authors
陳淑貞
CHEN, Shu-Chen
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
免疫學是生命科學研究之重要分支,主要探討各器官之免疫反應,於醫學上,與其他領域皆有牽連,因此其研究主題著實與人類密切相關,其熱門之研究主題之探究與掌握刻不容緩。 本研究由ESI資料庫搜集免疫學領域近十年之常被引文章(1998~2008),應用自動化主題分析方式,希冀藉由常被引文章特性了解熱門研究主題與相關社群之群聚關係,並勾勒其主題分佈概念圖。本研究使用主題分析工具Content Analysis Toolkit for Academic Research (CATAR),應用共現字分析、書目對分析與每篇文章之MeSH標題,針對ESI資料庫所收錄之免疫學領域高被引文章與熱門文章共1,223篇進行叢集歸類分析。得三種不同之歸類主題結果後,邀請五位免疫學領域專家進行深度訪談,藉由專家之解讀與比較,得書目對主題歸類結果15個研究主題代表性較佳,可代表近十年熱門研究主題,本研究再依此15個主題深入探討其相關之國家、機構、期刊與作者,進而勾勒免疫領域主題概念圖。
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.
Description
Keywords
自動化主題分析, 叢集歸類, 免疫學, 研究主題, Automatic cluster analysis, Immunology, Research topic
Citation
Collections