{"title":"Osteoporosis researches in Endocrinology & Metabolism Research Institute (EMRI) of Tehran University of Medical Sciences; a Scientometrics study.","authors":"Mohammad Javad Mansourzadeh, Kazem Khalagi, Hossein Yarmohammadi, Arash Ghazbani, Noushin Fahimfar, Firoozeh Hajipour, Mahnaz Sanjari, Safoora Gharibzadeh, Neda Mehrdad, Bagher Larijani, Afshin Ostovar","doi":"10.1007/s40200-020-00599-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>We investigated the research conducted on osteoporosis at EMRI to provide practical implications and suggestions for the development of future research.</p><p><strong>Methods: </strong>We searched osteoporosis and related concepts, as well as various forms of affiliations to EMRI to find published documents indexed in Web of Science, PubMed, and Scopus databases until January 27, 2020. The main purpose and scopes of the studies were classified into seven main study areas. Co-authorship relations were examined using the VOSviewer and keyword analysis was carried out by the ScientoPy.</p><p><strong>Results: </strong>A total 201 papers on the subject of osteoporosis with organizational affiliation to EMRI were found after initial screening and removing duplicates. A time trend analysis of publications showed a growing trend of EMRI's publication in the field of osteoporosis since 2014. A total of 558 independent authors participated in osteoporosis-related research at EMRI, and the average contribution of authors was 6.72 per papers. The Co-authorship network for authors contributing in at least five publications, showed 4 main clusters of independent authors. The co-occurrence network of keywords included three large and intertwined clusters including the epidemiology of osteoporosis and its resulting fractures and risk factors, bone markers and monitoring the effectiveness of treatment with them, and nutrition and supplements in the field of osteoporosis and fractures.</p><p><strong>Conclusion: </strong>EMRI has significantly contributed in osteoporosis science and related subjects during recent years, especially in public health aspects of osteoporosis and its risk factors and consequences. More attention should be paid to other areas such clinical and basic science studies.</p>","PeriodicalId":15604,"journal":{"name":"Journal of Diabetes & Metabolic Disorders","volume":"27 1","pages":"1773-1781"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599666/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes & Metabolic Disorders","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40200-020-00599-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: We investigated the research conducted on osteoporosis at EMRI to provide practical implications and suggestions for the development of future research.
Methods: We searched osteoporosis and related concepts, as well as various forms of affiliations to EMRI to find published documents indexed in Web of Science, PubMed, and Scopus databases until January 27, 2020. The main purpose and scopes of the studies were classified into seven main study areas. Co-authorship relations were examined using the VOSviewer and keyword analysis was carried out by the ScientoPy.
Results: A total 201 papers on the subject of osteoporosis with organizational affiliation to EMRI were found after initial screening and removing duplicates. A time trend analysis of publications showed a growing trend of EMRI's publication in the field of osteoporosis since 2014. A total of 558 independent authors participated in osteoporosis-related research at EMRI, and the average contribution of authors was 6.72 per papers. The Co-authorship network for authors contributing in at least five publications, showed 4 main clusters of independent authors. The co-occurrence network of keywords included three large and intertwined clusters including the epidemiology of osteoporosis and its resulting fractures and risk factors, bone markers and monitoring the effectiveness of treatment with them, and nutrition and supplements in the field of osteoporosis and fractures.
Conclusion: EMRI has significantly contributed in osteoporosis science and related subjects during recent years, especially in public health aspects of osteoporosis and its risk factors and consequences. More attention should be paid to other areas such clinical and basic science studies.
目的:探讨EMRI对骨质疏松症的研究,为今后的研究发展提供实际意义和建议。方法:我们检索了骨质疏松症和相关概念,以及各种形式的EMRI隶属关系,以找到Web of Science, PubMed和Scopus数据库中索引的已发表文献,截止到2020年1月27日。研究的主要目的和范围分为七个主要研究领域。使用VOSviewer检查合作作者关系,并使用ScientoPy进行关键词分析。结果:通过初步筛选和剔除重复文献,共发现201篇与EMRI相关的骨质疏松研究论文。对出版物的时间趋势分析显示,2014年以来EMRI在骨质疏松领域的出版物呈增长趋势。EMRI共有558名独立作者参与了骨质疏松相关研究,作者平均贡献6.72篇论文。在至少发表过5篇论文的合著者网络中,有4个主要的独立作者集群。关键词共现网络包括骨质疏松及其骨折的流行病学及危险因素、骨标志物及其治疗效果监测、骨质疏松与骨折领域的营养与补充剂三个大而交织的集群。结论:近年来,EMRI在骨质疏松科学和相关学科方面做出了重大贡献,特别是在骨质疏松症及其危险因素和后果的公共卫生方面。应该更多地关注其他领域,如临床和基础科学研究。