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A bibliometric analysis of 3D microfluidic chip in cancer

[...]we aimed to conduct a bibliometric analysis of the relevant literature on 3D microfluidic chips in cancer showcasing their current status, hotspots, and development trends. According to Price’s law, the growth in literature output was linear, and the linear equation can be represented as y = 6x...

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Bibliographic Details
Published in:Chinese medical journal 2024-07, Vol.137 (13), p.1617-1619
Main Authors: Guo, Yingyun, Liu, Chuan, Tan, Chen, Li, Yangbo, Zhen, Junhai, He, Haodong, Sun, Jiayi, Chen, Ying, Tan, Zongbiao, Wu, Yanrui, Zeng, Suqi, He, Pengzhan, Zhang, Jixiang, Liao, Fei, Huang, Weihua, Dong, Weiguo
Format: Article
Language:English
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Summary:[...]we aimed to conduct a bibliometric analysis of the relevant literature on 3D microfluidic chips in cancer showcasing their current status, hotspots, and development trends. According to Price’s law, the growth in literature output was linear, and the linear equation can be represented as y = 6x − 19.2, with a high coefficient of determination (R2 = 0.9024) [Supplementary Figure 1B, http://links.lww.com/CM9/C21]. CiteSpace software facilitated the cluster analysis of keywords, labeling clusters using the log-likelihood ratio (LLR) method, resulting in the clustering timeline view [Figure 1], clustering landscape [Supplementary Figure 6A, http://links.lww.com/CM9/C21], and clustering timezone [Supplementary Figure 6B, http://links.lww.com/CM9/C21] of all related research. The clustering analysis of this study found that the research content was primarily concentrated in three fields: research on the mechanisms of the tumor microenvironment, such as tumor progression, circulating tumor cells, stromal cells, biomarkers, and metastasis; research on microfluidic chip devices, such as core flow, porous channel, core-shell microcapsule, nanostructure array, rapid isolation, and through-hole membrane; and research on the application of microfluidic chip technology in cancer, such as cancer organoid, 3D culture, cancer drug research, disease modeling, and capture efficiency.
ISSN:0366-6999
2542-5641
2542-5641
DOI:10.1097/CM9.0000000000003155