{"title":"A comprehensive bibliographic study on mental illness.","authors":"Yuanzhao Ding, Shan Chen","doi":"10.1017/neu.2024.64","DOIUrl":null,"url":null,"abstract":"<p><p>This study presents a comprehensive analysis of recent mental illness research by utilizing an advanced bibliographic method capable of analyzing up to 12,965 papers indexed in the Web of Science database, overcoming the limitations of traditional tools like VOSviewer, which typically analyze fewer than 1,000 papers. By examining a vast dataset, this study identifies key trends, significant keywords, and prominent contributors, including leading researchers, universities, and countries/regions, in the field of mental illness research. Additionally, the study highlights eight major contributors to mental health problems, offering critical insights into the field’s current state. The findings underscore the importance of advanced bibliographic methods in providing a more detailed and accurate overview of mental illness research. This analysis not only enhances the understanding of young scholars entering the field but also uncovers significant trends and identifies notable gaps in the literature. The study advocates for continued innovation and interdisciplinary collaboration to deepen understanding and address unresolved challenges in mental health research.</p>","PeriodicalId":48964,"journal":{"name":"Acta Neuropsychiatrica","volume":"37 ","pages":"e7"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Neuropsychiatrica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/neu.2024.64","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents a comprehensive analysis of recent mental illness research by utilizing an advanced bibliographic method capable of analyzing up to 12,965 papers indexed in the Web of Science database, overcoming the limitations of traditional tools like VOSviewer, which typically analyze fewer than 1,000 papers. By examining a vast dataset, this study identifies key trends, significant keywords, and prominent contributors, including leading researchers, universities, and countries/regions, in the field of mental illness research. Additionally, the study highlights eight major contributors to mental health problems, offering critical insights into the field’s current state. The findings underscore the importance of advanced bibliographic methods in providing a more detailed and accurate overview of mental illness research. This analysis not only enhances the understanding of young scholars entering the field but also uncovers significant trends and identifies notable gaps in the literature. The study advocates for continued innovation and interdisciplinary collaboration to deepen understanding and address unresolved challenges in mental health research.
这项研究利用一种先进的书目方法,对最近的精神疾病研究进行了全面分析,该方法能够分析Web of Science数据库中多达12965篇论文,克服了传统工具如VOSviewer通常分析不到1000篇论文的局限性。通过研究大量数据集,本研究确定了精神疾病研究领域的关键趋势、重要关键词和杰出贡献者,包括主要研究人员、大学和国家/地区。此外,该研究还强调了造成心理健康问题的八个主要因素,为该领域的现状提供了重要的见解。这些发现强调了先进的书目方法在提供更详细和准确的精神疾病研究概述方面的重要性。这种分析不仅增强了进入该领域的年轻学者的理解,而且还揭示了重要的趋势,并确定了文献中的显着差距。该研究倡导持续创新和跨学科合作,以加深理解和解决心理健康研究中未解决的挑战。
期刊介绍:
Acta Neuropsychiatrica is an international journal focussing on translational neuropsychiatry. It publishes high-quality original research papers and reviews. The Journal''s scope specifically highlights the pathway from discovery to clinical applications, healthcare and global health that can be viewed broadly as the spectrum of work that marks the pathway from discovery to global health.