[Bibliometric analysis of Hungarian-related publications in suicidal behavior research of the last three decades].

Q4 Medicine Psychiatria Hungarica Pub Date : 2023-01-01
Márk Bérdi
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引用次数: 0

Abstract

Background: Digitized databases of scientific publications provide an opportunity to study the development and structure of science as a whole or a discipline. Qualitative methods of bibliometrics help with this, and the multidisciplinary approach, known as the "Science of Science", provides a thinking framework and methods. There is no example for the analysis of the bibliometric characteristics of Hungarian suicidology publications.

Method: In this study, the author analyzes publications related to suicidal behavior published between 1992 and 2021, with the participation of at least one Hungarian author, using statistical, data visualization, and network analysis methods. The analysis used publications in English, Hungarian, and other languages found in the Scopus database.

Results: The present research could identify 426 Hungarian publications in the three decades examined. The number of studies increased 5.8 times between the first and last five-year periods. The growth is not linear; there was a sudden increase in the number of studies around 2004. The doubling time for the number of studies is 9.6 years. The analysis identified five larger and five smaller clusters in the authors' network of relationships, representing well-known domestic suicidal research groups. In suicidology, Lotka's law also applies to the Hungarian sample. That is, few authors write the majority of studies, while the vast majority write only a few publications during their careers. A study's average number of authors increased significantly during the examined period. Multi-author studies received significantly more citations than single-author studies. 74.4% of the announcements are in English, and 21.6% are in Hungarian.

Conclusions: The methods of bibliometric analysis and the "science of science" can help research groups identify new research directions. All of this can ultimately contribute to a better understanding of suicidal behavior, allowing answering social and scientific problems. The focus of future bibliometric research, in addition to foreign databases, could be the analysis of a broader time interval with the help of Hungarian databases (e.g., MATARKA).

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[过去三十年匈牙利自杀行为研究相关出版物的文献计量分析]。
背景:科学出版物的数字化数据库为研究科学整体或学科的发展和结构提供了机会。文献计量学的定性方法对此有所帮助,而被称为“科学的科学”的多学科方法提供了一种思维框架和方法。匈牙利自杀学出版物的文献计量学特征分析没有实例。方法:在本研究中,作者分析了1992年至2021年间发表的与自杀行为相关的出版物,至少有一位匈牙利作者参与,使用统计学,数据可视化和网络分析方法。该分析使用了Scopus数据库中找到的英语、匈牙利语和其他语言的出版物。结果:本研究可以确定426匈牙利出版物在三十年检查。研究的数量在第一个和最后一个五年期间增加了5.8倍。增长不是线性的;2004年前后,研究的数量突然增加。学习人数翻倍的时间为9.6年。该分析在作者的人际关系网络中确定了五个较大和五个较小的集群,代表了著名的国内自杀研究小组。在自杀学中,洛特卡定律也适用于匈牙利的样本。也就是说,少数作者撰写了大多数研究,而绝大多数人在其职业生涯中只撰写了少数出版物。一项研究的平均作者数量在研究期间显著增加。多作者研究的引用次数明显高于单作者研究。74.4%的公告用英语,21.6%用匈牙利语。结论:文献计量分析方法和“科学的科学”可以帮助研究小组确定新的研究方向。所有这些最终都有助于更好地理解自杀行为,从而回答社会和科学问题。除了外国数据库之外,今后文献计量学研究的重点可以是在匈牙利数据库(例如MATARKA)的帮助下分析更广泛的时间间隔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Psychiatria Hungarica
Psychiatria Hungarica Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
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0
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