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印度尼西亚癌症研究的绘制与可视化:科学计量分析。

Mapping and Visualization of Cancer Research in Indonesia: A Scientometric Analysis.

机构信息

59166Universitas Gadjah Mada, Yogyakarta, Indonesia.

Leeds Institute of Health Sciences, 4468University of Leeds, Leeds, UK.

出版信息

Cancer Control. 2021 Jan-Dec;28:10732748211053464. doi: 10.1177/10732748211053464.

DOI:10.1177/10732748211053464
PMID:34702111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8554557/
Abstract

INTRODUCTION

The incidence of cancer and its prevalence are increasing in Indonesia. It is crucial to ensure national cancer policies are evidence-based and promote research. While cancer research is being conducted across Indonesia, the extent and focus of research activities are not known, with no existing synthesis of the cancer research landscape. We seek to address this gap by characterising trends in the extent and types of cancer research conducted in Indonesia.

METHODS

Scientometric study using descriptive analyses to determine annual growth patterns in publications across all cancer research literature from Indonesia. We developed a classification system for both research type and study design which was applied to all included publications. A visualisation software tool (VOSviewer) was used to explore the geographical distribution of research activity. The Wilcoxon rank-sum test was used to determine the influence of international collaboration on the impact factor of journals in which articles were published.

RESULTS

We retrieved 1773 cancer-related articles published by Indonesia-affiliated authors from 1961 to 2020, with notable year-on-year increases in the annual total number of published articles since 2015. Most articles (84.0%) were published by authors affiliated with institutions on Java Island. The most commonly published article type was basic research and discovery science (28.8%), using a one-group analytical study design (28.8%). International collaboration was significantly correlated with a higher h-index of the journal in which research was published (P < .0001, r = .317).

CONCLUSION

An increase in the number and range of topics explored in cancer-related publications over time was identified. The summary of the current corpus of cancer-related research for Indonesia can be used to direct the development of the national cancer control plan alongside informing the national cancer research strategy. Our novel and feasible scientometric approach can be used to direct future national and regional mapping of cancer research.

摘要

简介

癌症的发病率和患病率在印度尼西亚呈上升趋势。确保国家癌症政策有充分的证据支持并促进研究至关重要。虽然印度尼西亚各地都在进行癌症研究,但研究活动的范围和重点尚不清楚,也没有对癌症研究领域的现有综合分析。我们试图通过描述性分析来描述印度尼西亚进行的癌症研究的范围和类型的趋势来解决这一差距。

方法

使用科学计量学研究方法,对来自印度尼西亚所有癌症研究文献的出版物进行年度增长模式的描述性分析。我们为研究类型和研究设计制定了一个分类系统,并将其应用于所有纳入的出版物。使用可视化软件工具(VOSviewer)探索研究活动的地理分布。使用 Wilcoxon 秩和检验来确定国际合作对发表文章的期刊影响因子的影响。

结果

我们从 1961 年到 2020 年检索到了 1773 篇与癌症相关的文章,这些文章是由印度尼西亚附属作者发表的,自 2015 年以来,每年发表的文章总数呈显著逐年增加。大多数文章(84.0%)是由爪哇岛机构附属作者发表的。最常发表的文章类型是基础研究和发现科学(28.8%),采用单组分析研究设计(28.8%)。国际合作与发表研究的期刊的 h 指数显著相关(P <.0001,r =.317)。

结论

随着时间的推移,癌症相关出版物中探索的数量和范围都有所增加。对印度尼西亚当前癌症相关研究文献的总结可用于指导国家癌症控制计划的制定,同时为国家癌症研究战略提供信息。我们新颖且可行的科学计量方法可用于指导未来国家和地区癌症研究的制图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/1b3d51b81541/10.1177_10732748211053464-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/68d4b32d8a19/10.1177_10732748211053464-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/5aca3f975972/10.1177_10732748211053464-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/d02403639bf8/10.1177_10732748211053464-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/f72a0c04d8f1/10.1177_10732748211053464-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/54b26d633cb7/10.1177_10732748211053464-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/84c77b756cd5/10.1177_10732748211053464-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/1b4975886c63/10.1177_10732748211053464-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/f6e753e69891/10.1177_10732748211053464-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/1b3d51b81541/10.1177_10732748211053464-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/68d4b32d8a19/10.1177_10732748211053464-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/5aca3f975972/10.1177_10732748211053464-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/d02403639bf8/10.1177_10732748211053464-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/f72a0c04d8f1/10.1177_10732748211053464-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/54b26d633cb7/10.1177_10732748211053464-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/84c77b756cd5/10.1177_10732748211053464-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/1b4975886c63/10.1177_10732748211053464-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/f6e753e69891/10.1177_10732748211053464-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa14/8554557/1b3d51b81541/10.1177_10732748211053464-fig9.jpg

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