摘要
背景:研究认为,富血小板血浆可以促进组织的修复和再生。目的:通过文献计量学的方法评价全球富血小板血浆领域的研究现状和热点。
BACKGROUND:Platelet-rich plasma has been shown to promote tissue repair and regeneration.OBJECTIVE:To evaluate the current status and hotspot of platelet-rich plasma globally by bibliometrics.METHODS:In the database of web of science,“platelet rich plasma”was used as keyword to research relevant researches published before December 25,2018.The retrieved articles were indexed and analyzed according to country/region,institution,publication year,and publication name.Excel 2007 was used for descriptive statistics.VOS viewer(Leiden University,Netherlands)software was used to analyze and draw all the retrieved items.The main evaluation indicators were co-occurrence relationship,mutual citation relationship,co-citation relationship,and cooperation relationship map.RESULTS AND CONCLUSION:(1)Totally 8499 studies on platelet-rich plasma were retrieved,and the number and citations increased gradually.(2)Number of studies on platelet-rich plasma ranked top 3 countries are the United States,Italy,and Japan.(3)The subject direction and research fields of platelet-rich plasma mainly involve five aspects:basic research on growth factor function,research on bone regeneration,clinical research in cartilage or osteoarthritis,platelet function research,and stem cells.(4)The analysis results based on big data suggest that platelet-rich plasma is mainly applied in orthopedics,especially cartilage regeneration and osteoarthritis,which will be the focus of future research and technology investment.
作者
邢丹
袁霆
赵昱
林剑浩
Xing Dan;Yuan Ting;Zhao Yu;Lin Jianhao(Department of Bone and Joint,Peking University People’s Hospital,Beijing 100044,China;Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University,Shanghai 201103,China)
出处
《中国组织工程研究》
CAS
北大核心
2020年第21期3358-3362,共5页
Chinese Journal of Tissue Engineering Research
基金
国家自然科学基金(81501919,81973606),项目负责人:邢丹
北京大学人民医院研究与发展基金(RDY2019-11,RS2019-03),项目负责人:邢丹~~
关键词
骨科
富血小板血浆
大数据分析
可视化研究
orthopedics
platelet-rich plasma
big data analysis
visualization research