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伊朗骨质疏松症研究人员合著网络分析。

Co-authorship network analysis of Iranian researchers on osteoporosis.

机构信息

Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, No. 10, Jalale-al-Ahmad Ave., Tehran, Iran.

School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Arch Osteoporos. 2021 Apr 20;16(1):74. doi: 10.1007/s11657-021-00914-9.

DOI:10.1007/s11657-021-00914-9
PMID:33876312
Abstract

UNLABELLED

Our purpose was to investigate the co-authorship network of Iranian researchers in the field of osteoporosis. We used 1328 documents retrieved from databases of PubMed, Scopus, and Web of Science in the analysis. The network had 183 authors in 13 clusters, low cohesion, and slow information flow between its members.

PURPOSE

This study aims to investigate the pattern and characteristics of cooperation between Iranian researchers in the field of osteoporosis through the co-authorship social network analysis.

METHODS

All papers on osteoporosis with at least one Iranian author were retrieved from medical databases of PubMed, Scopus, and Web of Science from 2009 to 2019. After the removal of duplicates, the title and abstract of the papers were reviewed by two independent reviewers, and screening was performed according to the inclusion and exclusion criteria. The data were entered into the BibExecl software, and the different spelling forms in the author names were manually merged. The authors' co-occurrence matrix was then developed and entered into the UCINET software and the cohesion indexes (density, diameter, and average distance) and centrality indexes (degree, betweenness, closeness, and eigenvector) for the co-authorship network were estimated. The institutions and countries of the authors of the entered papers were also used in the network analysis and their socio-graphs were drawn.

RESULTS

We used 1328 documents in the analysis. The co-authorship network was constructed only for authors with at least 5 papers. The network had 183 nodes (authors) in 13 clusters. Its density was 0.063 and its number of components was 2. The large component encompassed 95.6% and the small component 4.4% of authors. The average distance in the main component of the network was 3 and its diameter was 6. Larijani B was ranked first in the network in terms of degree, betweenness, closeness, and eigenvector centrality. In terms of the contribution of organizations in osteoporosis publications, Tehran University of Medical Sciences (with 35.5% of papers published in WoS database), Shahid Beheshti University of Medical Sciences (14.7%), and Shiraz University of Medical Sciences (9.3%) retained in the first to third place, respectively. In papers published on the WoS, most Iranian authors have collaborated with authors from the USA, Belgium, Canada, and the UK respectively.

CONCLUSION

The co-authorship network had low cohesion with slow information flow between its members. The collaboration with young researchers by the network's active, efficient, and broker authors will lead to the maintenance and development of the network.

摘要

未加标签

本研究旨在通过合著者社会网络分析,调查伊朗骨质疏松症领域研究人员的合作模式和特征。

目的

本研究旨在通过合著者社会网络分析,调查伊朗骨质疏松症领域研究人员的合作模式和特征。

方法

从 2009 年至 2019 年,我们从 PubMed、Scopus 和 Web of Science 医学数据库中检索了所有至少有一位伊朗作者的骨质疏松症论文。去除重复项后,由两名独立评审员对论文的标题和摘要进行了审查,并根据纳入和排除标准进行了筛选。将数据输入 BibExecl 软件,手动合并作者姓名中的不同拼写形式。然后开发作者共同出现矩阵,并将其输入 UCINET 软件,估计合著网络的凝聚指数(密度、直径和平均距离)和中心度指数(度、中间度、接近度和特征向量)。还使用进入论文的作者所在机构和国家进行网络分析,并绘制其社会图谱。

结果

我们在分析中使用了 1328 篇文献。仅对至少有 5 篇论文的作者构建合著网络。网络有 183 个节点(作者),分为 13 个群集。其密度为 0.063,组件数为 2。主要组件包含 95.6%的作者,小组件包含 4.4%的作者。网络主组件的平均距离为 3,直径为 6。在网络中,Larijani B 在度、中间度、接近度和特征向量中心度方面排名第一。就组织在骨质疏松症出版物中的贡献而言,德黑兰医科大学(在 WoS 数据库中发表的论文占 35.5%)、沙希德·贝赫什提大学医科大学(14.7%)和设拉子医科大学(9.3%)分别保持在第一至第三位。在发表在 WoS 上的论文中,大多数伊朗作者分别与来自美国、比利时、加拿大和英国的作者合作。

结论

合著网络凝聚力低,成员间信息流动缓慢。网络活跃、高效和经纪人作者与年轻研究人员的合作将导致网络的维护和发展。

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Animals (Basel). 2023 Oct 8;13(19):3143. doi: 10.3390/ani13193143.
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Arch Osteoporos. 2021 Oct 11;16(1):154. doi: 10.1007/s11657-021-01016-2.