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2007年至2016年长链非编码RNA研究趋势:一项文献计量分析

Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis.

作者信息

Miao Yan, Xu Si-Yi, Chen Lu-Si, Liang Ge-Yu, Pu Yue-Pu, Yin Li-Hong

机构信息

Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China.

Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, P.R. China.

出版信息

Oncotarget. 2017 Sep 12;8(47):83114-83127. doi: 10.18632/oncotarget.20851. eCollection 2017 Oct 10.

Abstract

PURPOSE

This study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively.

METHODS

Publications from 2007 to 2016 were retrieved from the Web of Science Core Collection database. Microsoft Excel 2016 and CiteSpace IV software were used to analyze publication outputs, journals, countries, institutions, authors, citation counts, ESI top papers, H-index, and research frontiers.

RESULTS

A total of 3,008 papers on lncRNA research were identified published by June 17, 2017. The journal, (IF2016, 5.168) ranked first in the number of publications. China had the largest number of publications (1,843), but the United States showed its dominant position in both citation frequency (45,120) and H-index (97). Zhang Y (72 publications) published the most papers, and Guttman M (1,556 citations) had the greatest co-citation counts. The keyword "database" ranked first in research frontiers.

CONCLUSION

The annual number of publications rapidly increased in the past decade. China showed its significant progress in lncRNA research, but the United States was the actual leading country in this field. Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted. Guttman M, Mercer TR, Rinn JL, and Gupta RA were identified as good candidates for research collaboration. "Database," "Xist RNA," and "Genome-wide association study" should be closely observed in this field.

摘要

目的

本研究旨在分析长链非编码RNA(lncRNA)研究的科研产出,并构建一个模型,从定性和定量两方面评估过去十年的相关出版物。

方法

从科学网核心合集数据库中检索2007年至2016年的出版物。使用Microsoft Excel 2016和CiteSpace IV软件分析出版物产出、期刊、国家、机构、作者、被引频次、ESI高被引论文、H指数和研究前沿。

结果

截至2017年6月17日,共识别出3008篇关于lncRNA研究的论文。《 》(2016年影响因子为5.168)在出版物数量上排名第一。中国的出版物数量最多(1843篇),但美国在被引频次(45120次)和H指数(97)方面均占据主导地位。张Y(发表72篇论文)发表的论文数量最多,古特曼M(被共引1556次)的共被引次数最多。关键词“数据库”在研究前沿中排名第一。

结论

在过去十年中,出版物的年数量迅速增加。中国在lncRNA研究方面取得了显著进展,但美国是该领域的实际领先国家。许多中国机构从事lncRNA研究,但未发现它们之间有显著的合作。古特曼M、默瑟TR、林恩JL和古普塔RA被确定为研究合作的良好候选对象。在该领域应密切关注“数据库”“Xist RNA”和“全基因组关联研究”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8d7/5669954/cd272781ebad/oncotarget-08-83114-g001.jpg

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