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1960年至2023年亲属关系分析的文献计量分析:全球趋势与发展

Bibliometric analysis of kinship analysis from 1960 to 2023: global trends and development.

作者信息

Liu Yanchen, Sun Chaoran, Si Haoyuan, Peng Zixuan, Gu Liya, Guo Xiangnan, Song Feng

机构信息

Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.

出版信息

Front Genet. 2024 Jun 6;15:1401898. doi: 10.3389/fgene.2024.1401898. eCollection 2024.

DOI:10.3389/fgene.2024.1401898
PMID:38903754
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11187311/
Abstract

Kinship analysis is a crucial aspect of forensic genetics. This study analyzed 1,222 publications on kinship analysis from 1960 to 2023 using bibliometric analysis techniques, investigating the annual publication and citation patterns, most productive countries, organizations, authors and journals, most cited documents and co-occurrence of keywords. The initial publication in this field occurred in 1960. Since 2007, there has been a significant increase in publications, with over 30 published annually except for 2010. China had the most publications ( = 213, 17.43%), followed by the United States ( = 175, 14.32%) and Germany ( = 89, 7.28%). The United States also had the highest citation count. Sichuan University in China has the largest number of published articles. The University of Leipzig and the University of Cologne in Germany exhibit the highest total citation count and average citation, respectively. Budowle B was the most prolific author and Kayser M was the most cited author. In terms of publications, , , and were the most prolific journals. Among them, boasted the highest h-index, citation count, and average citation rate. The most frequently cited publication was "Van Oven M, 2009, Hum Mutat", with a total of 1,361 citations. The most frequent co-occurrence keyword included "DNA", "Loci", "Paternity testing", "Population", "Markers", and "Identification", with recent interest focusing on "Kinship analysis", "SNP" and "Inference". The current research is centered around microhaplotypes, forensic genetic genealogy, and massively parallel sequencing. The field advanced with new DNA analysis methods, tools, and genetic markers. Collaborative research among nations, organizations, and authors benefits idea exchange, problem-solving efficiency, and high-quality results.

摘要

亲缘关系分析是法医遗传学的一个关键方面。本研究使用文献计量分析技术,分析了1960年至2023年期间1222篇关于亲缘关系分析的出版物,调查了年度发表和被引模式、产出最多的国家、组织、作者和期刊、被引次数最多的文献以及关键词共现情况。该领域的最初出版物出现在1960年。自2007年以来,出版物数量显著增加,除2010年外,每年发表超过30篇。中国的出版物数量最多(=213,占17.43%),其次是美国(=175,占14.32%)和德国(=89,占7.28%)。美国的被引次数也最高。中国的四川大学发表的文章数量最多。德国的莱比锡大学和科隆大学分别展示了最高的总被引次数和平均被引次数。布多勒·B是产量最高的作者,凯泽·M是被引次数最多的作者。在出版物方面, 、 和 是产量最高的期刊。其中, 拥有最高的h指数、被引次数和平均被引率。被引次数最多的出版物是“Van Oven M,2009,Hum Mutat”,总被引次数为1361次。最常共现的关键词包括“DNA”、“基因座”、“亲子鉴定”、“群体”、“标记”和“鉴定”,近期的研究热点集中在“亲缘关系分析”、“单核苷酸多态性”和“推断”。当前的研究集中在微单倍型、法医遗传谱系学和大规模平行测序方面。该领域随着新的DNA分析方法、工具和遗传标记而不断发展。国家、组织和作者之间的合作研究有利于思想交流、解决问题的效率和高质量成果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/71967449fd67/fgene-15-1401898-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/f119c777438c/fgene-15-1401898-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/5c051c07357d/fgene-15-1401898-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/fe60dd7153ff/fgene-15-1401898-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/8393257aa6b3/fgene-15-1401898-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/83016f3e81c8/fgene-15-1401898-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/0f980c148795/fgene-15-1401898-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/8c1c17472da1/fgene-15-1401898-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/c4588ed8c56a/fgene-15-1401898-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/13f2d6b4c4d9/fgene-15-1401898-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/71967449fd67/fgene-15-1401898-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/f119c777438c/fgene-15-1401898-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/5c051c07357d/fgene-15-1401898-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/fe60dd7153ff/fgene-15-1401898-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/8393257aa6b3/fgene-15-1401898-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/83016f3e81c8/fgene-15-1401898-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/0f980c148795/fgene-15-1401898-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/8c1c17472da1/fgene-15-1401898-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/c4588ed8c56a/fgene-15-1401898-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/13f2d6b4c4d9/fgene-15-1401898-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09a/11187311/71967449fd67/fgene-15-1401898-g010.jpg

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本文引用的文献

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Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022.2010年至2022年单细胞测序的文献计量学与可视化分析
Front Genet. 2024 Jan 11;14:1285599. doi: 10.3389/fgene.2023.1285599. eCollection 2023.
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Using two self-developed InDel panels to explore forensic traits and ancestral components in the Hui group.
利用两个自主开发的 InDel 面板探索回族群体的法医学特征和祖先成分。
Genomics. 2024 Jan;116(1):110756. doi: 10.1016/j.ygeno.2023.110756. Epub 2023 Dec 5.
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Single cell genomics applications in forensic science: Current state and future directions.单细胞基因组学在法医学中的应用:现状与未来方向。
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Genetic analysis of 42 Y-STR loci in Han and Manchu populations from the three northeastern provinces in China.中国东北三省汉族和满族 42 个 Y-STR 基因座的遗传分析。
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Ancient DNA: the past for the future.古 DNA:为未来服务的过去。
BMC Genomics. 2023 Jun 8;24(1):309. doi: 10.1186/s12864-023-09396-0.
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Applications of 1993 single nucleotide polymorphism loci in forensic pairwise kinship identifications and inferences.1993 年单核苷酸多态性位点在法医二联体亲缘关系鉴定和推断中的应用。
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