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| Title: | 低劑量電腦斷層肺癌篩檢之書目計量及其視覺化分析
Bibliometrics and Visual Analysis of Low-dose Computed Tomography Lung Cancer Screening |
| Authors: | 李聿芃
Lee, Yu-Peng |
| Contributors: | 林巧敏
Lin, Chiao-Min
李聿芃
Lee, Yu-Peng |
| Keywords: | 低劑量電腦斷層
書目計量
引用文獻分析法
布萊德福定律
布萊德福定律-齊夫定律
洛卡定律
Low-dose Computed Tomography(LDCT)
Bibliometrics
Citation Analysis
Bradford’s Law
Bradford-Zipf’s Law
Lotka’s Law |
| Date: | 2025 |
| Issue Date: | 2025-08-04 15:01:07 (UTC+8) |
| Abstract: | 本研究旨在應用書目計量學方法，探討低劑量電腦斷層肺癌篩檢的全球文獻資料。研究樣本選自Scopus引文索引資料庫，涵蓋1990年至2024年間的研究主題及其引用特性分布，並以視覺化方式呈現國家與研究機構間的網絡關係。同時，聚焦於文獻特性、期刊文獻的集中與分散特徵，以及作者生產力分布等面向，分析其在研究主題與學術群聚中的影響力，以揭示低劑量電腦斷層肺癌篩檢研究領域的現況與發展趨勢。
研究結果歸納如下：(1)低劑量電腦斷層肺癌篩檢文獻累積成長曲線，整體趨勢接近指數型穩定增長。(2)低劑量電腦斷層肺癌篩檢研究產出所使用的語文多達21種，而英語佔總文獻數的90.73%。(3)低劑量電腦斷層肺癌篩檢相關研究涵蓋78個國家，以美國佔比最高，佔35%。(4)低劑量電腦斷層肺癌篩檢相關研究的產出機構分布顯示，在全球排名前50的機構中，美國佔有29所，充分展現在該領域的高度研究活躍度與領先地位。(5)低劑量電腦斷層肺癌篩檢文獻類型分布，期刊文獻與評述論文共佔 84.52%，為最主要的學術傳播形式，顯示醫學領域研究者主要透過正式期刊發表研究成果。(6)低劑量電腦斷層肺癌篩檢文獻其增長趨勢，不符合布萊德福定律，但仍有五種核心期刊，且大多被列入高被引期刊。(7)利用高生產力期刊與高被引期刊相互驗證布萊德福分區法所界定的核心期刊，發現核心期刊品質值得信任。(8)低劑量電腦斷層肺癌篩檢文獻發表數與作者人數成反比，合著情形普遍。(9)以洛卡定律最小平方法求得n值為-1.6421 ，進一步利用Kolmogorov-Smirnov 檢定法進行驗證，研究結果證明洛卡定律不適用於本研究採平等法統計之低劑量電腦斷層肺癌篩檢期刊文獻的作者分布。(10)依據作者關鍵字進行共現詞分析，其群組鏈結與詞頻共現總數，計有72個詞彙，9個群組，其主題網絡圖清晰呈現關鍵詞間的親疏關係，藉以揭示低劑量電腦斷層肺癌篩檢領域的研究熱點與前沿發展趨勢。
This study explores bibliometric methods to investigate global literature on low-dose computed tomography (LDCT) lung cancer screening. The research sample is drawn from the Scopus citation index database, covering research themes and their citation characteristics from 1990 to 2024, with network relationships between countries and research institutions visualized. Additionally, the study focuses on analyzing literature characteristics, the concentration and dispersion patterns of journal articles, and author productivity distribution, examining their impact on research themes and academic clusters to reveal the current state and development trends in the field of LDCT lung cancer screening research. The findings are expected to provide insights for medical libraries to integrate knowledge mapping and information visualization analysis services, thereby meeting clinical teaching needs and advancing the overall development of medical research.
The results summarize as follows：
1.The cumulative growth curve of LDCT lung cancer screening literature exhibits a near-exponential stable growth trend.
2.The literature is published in 21 languages, with English accounting for 90.73% of the total publications.
3.LDCT lung cancer screening research spans 78 countries, with the United States leading at 35%, demonstrating its dominant position in the field.
4.The distribution of institutions contributing to research on low-dose CT lung cancer screening reveals that, among the top 50 institutions worldwide, the United States accounts for 29, demonstrating its high research activity and leading position in this field.
5.Journal articles and review papers constitute 84.52% of the literature, representing the primary forms of academic communication and highlighting the preference for publishing original research in formal journals.
6.The growth trend of LDCT lung cancer screening literature does not conform to Bradford’s Law, yet five core journals are identified, most of which are highly cited.
7.Cross-validation of high-productivity and high-citation journals confirms the reliability of core journals defined by Bradford’s zoning method.
8.The number of publications is inversely proportional to the number of authors, with co-authorship being prevalent.
9.Using the least squares method, the n value for Lotka's Law was calculated as -1.6421. Further validation with the Kolmogorov-Smirnov test confirmed that Lotka's Law is not applicable to the author distribution of journal literature on low-dose CT lung cancer screening analyzed in this study using equal-weight statistical methods.
10.Based on the co-occurrence analysis of author keywords, encompassing group linkages and total word frequency co-occurrences, 72 keywords across 9 clusters were identified. The resulting thematic network map clearly delineates the relationships among keywords, thereby revealing research hotspots and emerging trends in the field of low-dose computed tomography (LDCT) lung cancer screening. |
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| Description: | 碩士
國立政治大學
圖書資訊學數位碩士在職專班
112913004 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0112913004 |
| Data Type: | thesis |
| Appears in Collections: | [圖書資訊學數位碩士在職專班] 學位論文
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