Chinese Journal of Tissue Engineering Research ›› 2022, Vol. 26 ›› Issue (26): 4234-4241.doi: 10.12307/2022.829
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Li Zhishuai1, Zhang Hongqian2, Liu Jianquan1, Zhang Hankun1, Li Li1
Received:
2021-11-01
Accepted:
2021-12-07
Online:
2022-09-18
Published:
2022-03-09
Contact:
Li Li, MD, Attending physician, the Affiliated Hospital of Qingdao Binhai University, Qingdao Binhai University Medical School, Qingdao 266405, Shandong Province, China
About author:
Li Zhishuai, Master, Attending physician, the Affiliated Hospital of Qingdao Binhai University, Qingdao Binhai University Medical School, Qingdao 266405, Shandong Province, China
Zhang Hongqian, Master candidate, Weifang Medical University, Weifang 261053, Shandong Province, China
Li Zhishuai and Zhang Hongqian contributed equally to this work.
Supported by:
CLC Number:
Li Zhishuai, Zhang Hongqian, Liu Jianquan, Zhang Hankun, Li Li. Visualization analysis of current research hotspots on rehabilitation treatment after anterior cruciate ligament reconstruction[J]. Chinese Journal of Tissue Engineering Research, 2022, 26(26): 4234-4241.
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2.4 作者分布 在统计的作者合作网络图5中,可见近11年来共1 298个作者参与了该领域的研究,表5显示出中发文数量前5的作者依次为LYNN SNYDERMACKLER(23篇)、TIMOTHY E HEWETT(9篇)、LINDSEY K LEPLEY(9篇)、RIANN M PALMIERISMITH(9篇)、MAY ARNA RISBERG(9篇)。其中发文量最多的作者来自特拉华大学健康科学学院物理治疗系的教授LYNN SNYDERMACKLER,他在前交叉韧带重建术后康复领域涉及的研究主题有渐进式运动疗法和振动训练在前交叉韧带重建术后的效果、基于步态生物力学的肢体对称性分析、患者结局评估等[10-15]。"
2.5 研究热点分析 2.5.1 文献共被引分析 文献共被引是1篇文献被2篇或多篇文献同时引用[16],基于共被引文献的共现分析和突现分析,可预测该领域近几年的研究热点及趋势。运行CiteSpace得到共被引文献知识图谱,见图7;共被引次数排名前5文献[7,17-20],见表7;共被引文献突现强度排序,见图8。其中来自挪威一个康复研究中心(NAR)的学者Grindem H被引频次最高,达37次,其文章在2018和2019年均被引用11次,详见表7。文献共被引突现分析可展现一段时间内被引频次较高的文献,图8和表8列出了突现强度前10的被引文献,依次为参考文献[7,17-25],其中近3年有5篇文献,且突现强度排名靠前。"
2.5.2 关键词共现分析 关键词是文章主要内容的提炼,出现次数越多代表研究主题热度越高,对关键词进行分析,可体现该领域的研究热点,判断发展方向。表9和图9列出共现较高的关键词。排名前10位的关键词中心性均>0.1,中介中心性取值0-1,是衡量节点在网络中重要性的指标,若其≥0.1说明中心性较高。中心性前3的关键词依次是:stability(稳定性)、sport(体育运动)、tendon(肌腱)。除去与主题相关的关键词:rehabilitation(康复)、anterior cruciate ligament(前交叉韧带),频次前3的关键词为injury(损伤)、return(回归)、strength(力量),详见表9。"
2.5.3 关键词聚类分析 关键词聚类是将关联紧密的关键词聚成一类,观察目前某个技术或学科领域形成了哪些研究类团,聚类号越小类团中成员数量越多,轮廓值表示类团内部成员之间的紧密程度,当>0.7时表示紧密良好或类团成员类似,聚类比较成功[26]。通过对关键词进行LLR聚类分析,在得到的聚类图10中,模块化Q值为0.726(>0.3),轮廓值S为0.895 9(>0.7),表示聚类较好,同质性较高。排名前5的聚类分别为“#0 fatigue(疲劳)、#1 acl deficiency(前交叉韧带缺陷)、#2 osteoarthritis(骨关节炎)、#3 muscle atrophy(肌肉萎缩)、#4 female athletes(女运动员)”,详见表10。"
图11可分为3个阶段,其中早期2010-2013年,突现关键词为patellar tendon(髌韧带)、closed kinetic chain(闭链训练)、stability(稳定性)、lower extremity(下肢);中期2015-2017年为force development(力量部署)、articular cartilage(关节软骨)、soccer player(足球运动员);近期2018-2020年为return(回归)、cruciate ligament reconstruction(交叉韧带重建)、risk(风险)、sport(运动)、muscle strength(肌力)、injury(损伤)、reliability(信度)。"
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