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2013 年以来中国大陆、香港和台湾地区眼科文献的引文趋势和关键词:时间条形图(TBG)的文献计量分析。

Citation trends in ophthalmology articles and keywords in mainland China, Hong Kong, and Taiwan since 2013 using temporal bar graphs (TBGs): Bibliometric analysis.

机构信息

Department of Ophthalmology, An Nan Hospital, China Medical University, Tainan, Taiwan.

Department of Optometry, Chung Hwa University of Medical Technology, Tainan, Taiwan.

出版信息

Medicine (Baltimore). 2022 Dec 30;101(52):e32392. doi: 10.1097/MD.0000000000032392.

DOI:10.1097/MD.0000000000032392
PMID:36596033
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9803441/
Abstract

BACKGROUND

We selected authors from mainland China, Hong Kong, and Taiwan (CHT) to examine citation trends on articles and keywords. The existence of suitable temporal bar graphs (TBGs) for displaying citation trends is unknown. It is necessary to enhance the traditional TBGs to provide readers with more information about the citation trend. The purpose of this study was to propose an advanced TBG that can be applied to understand the most worth-reading articles by ophthalmology authors in the CHT.

METHODS

Using the search engine of the Web of Science core collection, we conducted bibliometric analyses to examine the article citation trends of ophthalmology authors in CHT since 2013. A total of 6695 metadata was collected from articles and review articles. Using radar plots, the Y-index, and the combining the Y-index with the CJAL scores (CJAL) scores, we could determine the dominance of publications by year, region, institute, journal, department, and author. A choropleth map, a dot plot, and a 4-quadrant radar plot were used to visualize the results. A TBG was designed and provided for readers to display citation trends on articles and keywords.

RESULTS

We found that the majority of publications were published in 2017 (2275), Shanghai city (935), Sun Yat-Sen University (China) (689), the international journal Ophthalmology (1399), the Department of Ophthalmology (3035), and the author Peizeng Yang (Chongqing) (65); the highest CAJL scores were also from Guangdong (2767.22), Sun Yat-Sen University (China) (2147.35), and the Ophthalmology Department (7130.96); the author Peizeng Yang (Chongqing) (170.16) had the highest CAJL; and the enhanced TBG features maximum counts and recent growth trends that are not included in traditional TBGs.

CONCLUSION

Using the Y-index and the CJAL score compared with research achievements of ophthalmology authors in CHT, a 4-quadrant radar plot was provided. The enhanced TBGs and the CJAL scores are recommended for future bibliographical studies.

摘要

背景

我们从中国大陆、香港和台湾(CHT)选择了作者,以检查文章和关键词的引文趋势。目前尚不清楚是否存在合适的时间条形图(TBG)来显示引文趋势。有必要改进传统的 TBG,为读者提供更多有关引文趋势的信息。本研究的目的是提出一种先进的 TBG,以帮助理解 CHT 眼科作者最值得阅读的文章。

方法

使用 Web of Science 核心集合的搜索引擎,我们进行了文献计量分析,以检查自 2013 年以来 CHT 眼科作者的文章引文趋势。从文章和综述文章中收集了 6695 条元数据。使用雷达图、Y 指数和将 Y 指数与 CJAL 得分(CJAL)结合起来,我们可以确定出版物的主导地位按年份、地区、机构、期刊、部门和作者。使用专题地图、点图和四象限雷达图来可视化结果。设计了一个 TBG,为读者提供显示文章和关键词引文趋势的功能。

结果

我们发现,大多数出版物发表于 2017 年(2275 篇)、上海市(935 篇)、中山大学(中国)(689 篇)、国际眼科杂志(1399 篇)、眼科(3035 篇)和作者 Peizeng Yang(重庆)(65 篇);最高的 CAJL 得分也来自广东(2767.22)、中山大学(中国)(2147.35)和眼科系(7130.96);作者 Peizeng Yang(重庆)(170.16)拥有最高的 CAJL;增强的 TBG 具有传统 TBG 中未包含的最大计数和最新增长趋势。

结论

使用 Y 指数和 CJAL 得分与 CHT 眼科作者的研究成果进行比较,提供了一个四象限雷达图。建议在未来的文献研究中使用增强的 TBG 和 CJAL 得分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/c363e9b2c003/medi-101-e32392-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/054756e6993a/medi-101-e32392-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/8192cb3a6112/medi-101-e32392-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/222071e65271/medi-101-e32392-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/02a5fd3cb9a3/medi-101-e32392-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/ab4f8b9304a7/medi-101-e32392-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/1cc8af2db8f2/medi-101-e32392-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/00f311e8f734/medi-101-e32392-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/c363e9b2c003/medi-101-e32392-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/054756e6993a/medi-101-e32392-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/8192cb3a6112/medi-101-e32392-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/222071e65271/medi-101-e32392-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/02a5fd3cb9a3/medi-101-e32392-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/ab4f8b9304a7/medi-101-e32392-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/1cc8af2db8f2/medi-101-e32392-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/00f311e8f734/medi-101-e32392-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e0/9803441/c363e9b2c003/medi-101-e32392-g008.jpg

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