Chinese Journal of Tissue Engineering Research ›› 2022, Vol. 26 ›› Issue (29): 4723-4728.doi: 10.12307/2022.903
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He Qize1, Meng Lin2, Wang Jie1, Weng Chenyi1
Received:
2021-10-11
Accepted:
2021-11-09
Online:
2022-10-18
Published:
2022-03-28
Contact:
Meng Lin, MD, Associate chief physician, Department of Arthritis, Guangxi Orthopedics Hospital, Nanning 530012, Guangxi Zhuang Autonomous Region, China
About author:
He Qize, Master candidate, Ruikang Clinical College, Guangxi University of Chinese Medicine, Nanning 530000, Guangxi Zhuang Autonomous Region, China
Supported by:
CLC Number:
He Qize, Meng Lin, Wang Jie, Weng Chenyi. Citespace-based visual analysis of research literature related to cartilage repair using cartilage precursor cells[J]. Chinese Journal of Tissue Engineering Research, 2022, 26(29): 4723-4728.
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由表2可知,前20个关键词均为高频关键词,分别为软骨“cartilage”(216次)、表达“expression”(191次)、分化“differentiation”(156次)、体外“in vitro”(131次)、间充质干细胞“mesenchymal stem cell”(124次)、 软骨细胞“chondrocyte”(112次)、骨“bone”(83次)、 关节软骨“Articular cartilage”(79次)、干细胞“stem cell”(72次)、 基因表达“gene expression”(68次)。高中介中心性的中文关键词为:关节软骨“articular cartilage”(0.44)、骨关节炎“osteoarthriti”(0.38)、破骨细胞“osteoclast”(0.37)、破骨细胞分化“osteoclast differentiation”(0.36)、细胞“cell”(0.33)、发展“growth”(0.32)、软骨内骨化“endochondral ossification”(0.32)、基因“gene”(0.31)、骨髓基质细胞“Marrow stromal cell”(0.30)、基质细胞“stromal cell”(0.30)。"
2.2.2 关键词聚类分析 关键词聚类可以通过聚类之间的结构特征突出关键节点的重要连接,用对数似然比(log-likelihood rate,LLR)方法,在原操作的基础上对文献中关系紧密的关键词进行聚类分析。有研究表明,聚类模块值(Q)> 0.3,提示聚类结构显著;平均轮廓值(S)> 0.7,表明其结果可靠[16]。由图3和表3可见,关键词聚类图谱由202个节点,440条边组成,聚类模块值Q=0.841 4,提示该聚类结构显著;平均轮廓值S=0.944 8,表明形成的关键词聚类图谱合理可靠,共形成了增殖“proliferation”、差异化“differentiation”、类风湿性关节炎“rheumatoid arthriti”、粘连蛋白“cohesin”、软骨“cartilage”、激活因子“rankl”、骨头“bone”、软骨细胞分化“chondrocyte differentiation”、软骨细胞“chondrocyte”、 组织工程学“tissue engineering”、 软骨内骨化“endochondral ossification”、祖细胞“progenitor cell”等12个聚类。"
2.2.3 关键词时间视线图 时间视线图主要侧重于勾画聚类之间的关系和某个聚类中关键词的历史跨度。同一聚类的节点按照时间顺序被排布在同一水平线上,时间置于视图的最上方,越向右时间越近。对关键词网络进行分析,选择“Timeline”进行时间线视图可视化,分析关键词时间视线图可以明确软骨前体细胞修复软骨的研究历史。聚类中包含的文献数量越多,代表该聚类在领域中越重要;时间跨度越长代表该聚类中的研究领域越早、持续性也越长[17]。由图4可见,软骨“cartilage”、分化“differentiation”、 软骨细胞“chondrocyte”、骨关节炎“osteoarthritis”等在领域中占有重要的地位,聚类时间跨度从1999年一直延续至2021年,表明这些聚类标签是该研究领域的重点研究内容,形成稳定的方向。"
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