Literature DB >> 29033114

A bibliometric and social network analysis of pelvic organ prolapse during 2007-2016.

Feng Huang1, Quan Zhou1, Bing-Jie Leng1, Qiao-Ling Mao1, Li-Min Zheng2, Man-Zhen Zuo3.   

Abstract

BACKGROUND: Pelvic organ prolapse (POP) seriously affects the life quality of old females. In the present work, we described the knowledge structure of POP in a macroscopic view, and summarized the recent research focus.
METHODS: Candidates were identified through reading and screening publications from PubMed database with a MeSH term of "pelvic organ prolapse" during 2007-2016. Relevant journals and journal-affiliated countries were extracted, and essential information, such as the number of publication of each year, first authors and MeSH/subheading words, was analyzed with BICOMB. In addition, highly-frequent MeSH/subheading words were determined and classified, and co-occurrence matrices were produced accordingly. Finally, social network was utilized to analyze the knowledge structure.
RESULTS: A total of 3294 publications of POP were retrieved from 364 journals. The publication of POP had a significant downward trend since the beginning of 2015. POP articles published in American and British journals were significantly more compared with other countries. The co-occurrence matrices of 37 × 37 and 55 × 55 were produced by the highly-frequent MeSH/subheading words, and then the social network analysis was performed based on them.
CONCLUSION: These publications on POP were mainly from the developed countries. Surgical treatment of POP was a hot topic of POP research in recent 10 years.
Copyright © 2017. Published by Elsevier Taiwan LLC.

Keywords:  Bibliometrics; Co-word analysis; Pelvic organ prolapse; Social network analysis

Mesh:

Year:  2017        PMID: 29033114     DOI: 10.1016/j.jcma.2017.08.012

Source DB:  PubMed          Journal:  J Chin Med Assoc        ISSN: 1726-4901            Impact factor:   2.743


  2 in total

1.  Worldwide scientific productions with immunotherapy of sepsis: a bibliometric analysis.

Authors:  Ronghao Wan; Lei Li; Chenwei Xing; Ronggang Peng; Liang Gao
Journal:  PeerJ       Date:  2019-06-17       Impact factor: 2.984

2.  Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis.

Authors:  Fangkun Zhao; Bei Shi; Ruixin Liu; Wenkai Zhou; Dong Shi; Jinsong Zhang
Journal:  BMC Ophthalmol       Date:  2018-04-03       Impact factor: 2.209

  2 in total

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