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运用共词分析评估精神病学领域的研究主题演变

Evaluation of research topic evolution in psychiatry using co-word analysis.

作者信息

Wu Ying, Jin Xing, Xue Yunzhen

机构信息

School of Humanities and Social Sciences Affiliated Tumor Hospital, Shanxi Medical University, Taiyuan, China.

出版信息

Medicine (Baltimore). 2017 Jun;96(25):e7349. doi: 10.1097/MD.0000000000007349.

DOI:10.1097/MD.0000000000007349
PMID:28640150
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5484261/
Abstract

With the rapid increase in the incidence of mental disorders and mental issues, psychiatry has become one of the fastest growing clinical medical disciplines. Development priorities and research foci in this field have evolved over different periods.All the articles in 10 psychiatric journals with the highest impact factors were selected from the Science Citation Index (SCI) in Web of Science from 2001 to 2015. The information visualization software Sci was used to conduct co-word and clustering analyses on these articles. The articles were divided into 3 periods: 2001 to 2005, 2006 to 2010, and 2011 to 2015. Each bibliographic record contained a title, author names, abstract, keywords, references, and other information.During the 3 periods between 2001 and 2015, child and adolescent psychiatry, major depression, schizophrenia, and prefrontal cortex were constant research foci. The brain and meta-analysis gradually became new research foci, although research on symptoms slowly decreased. Molecular genetics was also an area of interest.Using scientometrics technology to visualize research foci can provide us with new ideas and research methods. Co-word analysis for the preliminary exploration of research foci and developmental trends in psychiatry is helpful in finding developmental rules, choices of topics, and innovative research. Our study had some limitations. In the future, we should expand our research scope and use a variety of research methods to enrich our results.

摘要

随着精神障碍和心理问题发病率的迅速上升,精神病学已成为发展最快的临床医学学科之一。该领域的发展重点和研究热点在不同时期有所演变。从2001年至2015年科学网的科学引文索引(SCI)中选取了10种影响因子最高的精神病学杂志上的所有文章。使用信息可视化软件Sci对这些文章进行共词分析和聚类分析。文章分为三个时期:2001年至2005年、2006年至2010年、2011年至2015年。每条文献记录都包含标题、作者姓名、摘要、关键词、参考文献及其他信息。在2001年至2015年的三个时期中,儿童和青少年精神病学、重度抑郁症、精神分裂症以及前额叶皮层一直是研究热点。尽管对症状的研究有所减少,但大脑和荟萃分析逐渐成为新的研究热点。分子遗传学也是一个受关注的领域。利用科学计量学技术可视化研究热点能够为我们提供新的思路和研究方法。共词分析用于初步探索精神病学的研究热点和发展趋势,有助于发现发展规律、选题以及创新性研究。我们的研究存在一些局限性。未来,我们应扩大研究范围并采用多种研究方法来丰富研究结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/b945677c9874/medi-96-e7349-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/e5ae692ec103/medi-96-e7349-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/7f5e3babe883/medi-96-e7349-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/b945677c9874/medi-96-e7349-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/e5ae692ec103/medi-96-e7349-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/7f5e3babe883/medi-96-e7349-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc87/5484261/b945677c9874/medi-96-e7349-g008.jpg

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