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    Title: 隨機對照試驗醫學文獻共被引現象分析
    Other Titles: Co-citation analysis on medical literatures of randomized controlled trials
    Authors: 劉瓊芳;Liu, Chiung-fang
    Contributors: 淡江大學資訊與圖書館學系碩士班
    蔡明月;Tsay, Ming-yueh
    Keywords: 共被引;雙被引;隨機對照試驗;書目計量學;醫學文獻;Co-citation Analysis;Cocitation Analysis;Randomized Controlled Trials;RCTs;RCT;Bibliometrics;Medical Literatures
    Date: 2008
    Issue Date: 2010-01-11 05:07:07 (UTC+8)
    Abstract: 本研究旨在應用書目計量學中的共被引分析法,以隨機對照試驗醫學文獻為研究對象,進行期刊與期刊,以及作者與作者之間的主題相關性分析,希望透過對隨機對照試驗醫學文獻之期刊與作者的共被引分析,能瞭解實證醫學領域所屬期刊的涵蓋主題導向、期刊之間的叢聚性、作者所研究的主題方向,以及作者間的叢聚性。本研究以1990年至2007年的隨機對照試驗醫學文獻為研究範圍。1990年至2001年研究資料取自楊彥緒於2003年所撰寫的碩士論文─「隨機對照試驗醫學文獻之書目計量學研究」,將其中1990年至2001年隨機對照試驗醫學文獻之書目計量分析結果作為本研究的基礎研究數據。2002年至2007年的研究資料則自Medline資料庫蒐錄而來,同時亦予以計量分析。最後得出1990年至2007年的48種核心期刊與41位高生產力作者做為本研究之研究樣本。其次,再以Dialog資料庫分別對此48種樣本期刊與41位樣本作者進行共被引次數檢索,製成共被引矩陣,除了瞭解期刊、作者彼此間的共被引強度之外,並以SPSS統計軟體進行相關係數、多元尺度與集群分析。

    本研究結果歸納如下:
    一、共被引強度:
    (一)隨機對照試驗期刊共被引次數普遍很高。
    (二)隨機對照試驗作者共被引次數普遍過低。

    二、相關係數分析
    (一)期刊相關係數普遍都很高,亦即期刊的主題相關性高,其中又以麻醉學、心臟血管系統、一般與內科醫學為高度正相關之主題領域。
    (二)作者相關係數多呈現負相關,約佔所有作者組數之96%,表示作者彼此的研究領域差異過大。

    三、群集與多元尺度分析
    (一)期刊以一般及內科醫學及其分支領域連結性較強,為隨機對照試驗醫學主要的學科領域。
    (二)無法判定實證醫學領域之核心作者。

    四、1990-2001年與2002-2007年之期刊出版文獻主題皆以麻醉學為主。

    五、1990-2001年與2002-2007年作者研究主題趨於分散。
    This study aims at using co-citation analysis of bibliometrics, and regards randomized controlled trials medical literatures as the research object to analyze the relevance between and between authors, in the hope of grasping the major areas, cluster of journals and authors of evidence-bases medicine through journal co-citation and author co-citation. This research takes randomized controlled trials medical literatures from 1990 to 2007 as research range. Data from 1990 to 2001 are taken from“A Bibliometrics Study on the Medical Literature of Randomized Controlled Trials”written by Yang Yen-Hsu in 2003. Data from 2002 to 2007 are retrieved from database of Medline. Then it combines the bibliometrics results of these two periods to acquired 48 core journals and 41 highly productive authors of randomized controlled trials from 1990-2007 as the samples of this study. Secondly, it compares the co-citation times between 48 core journals and 41 highly productive authors with Dialog to build co-citation matrix, and that result let us understanding the co-citation strength of periodicals and authors. We also use the SPSS software in the analysis of the co-efficient co-rrelation, multidimensional scaling analysis and cluster analysis between journals and authors.

    The results of the study reveal that:

    1.On the co-citation strength:
    (1).Co-citation frequency of randomized controlled trials journals are commonly high in the number of times.
    (2).Co-citation frequency of randomized controlled trials authors are too low in the number of times.

    2.On the co-efficient co-rrelation analysis:
    (1).Co-efficient co-rrelation between journals are generally high, especially in anesthesiology, cardiovascular disease and internal medicine.
    (2).About 96% of author''s co-efficient co-rrelation shows negative co-rrelations. It indicates that there are great differences between the author’s research fields.

    3.On the cluster analysis and multidimensional scaling analysis:
    (1).Periodicals of internal medicine and its branch fields have a stronger link than other medical fields. They are main disciplines in randomized controlled trials area.
    (2).We can''t judge the nuclear authors of evidence-bases medicine field

    4.The main topic of 1990-2001 and 2002-2007 in periodical literatures is anesthesiology.

    5.The author''s research fields of 1990-2001 and 2002-2007 are too divergent to find the core research subject.
    Appears in Collections:[資訊與圖書館學系暨研究所] 學位論文

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