Sallam Malik
Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman, Jordan.
Department of Clinical Laboratories and Forensic Medicine, Jordan University Hospital, Amman, Jordan.
Narra J. 2024 Aug;4(2):e917. doi: 10.52225/narra.v4i2.917. Epub 2024 Aug 5.
Since its public release on November 30, 2022, ChatGPT has shown promising potential in diverse healthcare applications despite ethical challenges, privacy issues, and possible biases. The aim of this study was to identify and assess the most influential publications in the field of ChatGPT utility in healthcare using bibliometric analysis. The study employed an advanced search on three databases, Scopus, Web of Science, and Google Scholar, to identify ChatGPT-related records in healthcare education, research, and practice between November 27 and 30, 2023. The ranking was based on the retrieved citation count in each database. The additional alternative metrics that were evaluated included (1) Semantic Scholar highly influential citations, (2) PlumX captures, (3) PlumX mentions, (4) PlumX social media and (5) Altmetric Attention Scores (AASs). A total of 22 unique records published in 17 different scientific journals from 14 different publishers were identified in the three databases. Only two publications were in the top 10 list across the three databases. Variable publication types were identified, with the most common being editorial/commentary publications (n=8/22, 36.4%). Nine of the 22 records had corresponding authors affiliated with institutions in the United States (40.9%). The range of citation count varied per database, with the highest range identified in Google Scholar (1019-121), followed by Scopus (242-88), and Web of Science (171-23). Google Scholar citations were correlated significantly with the following metrics: Semantic Scholar highly influential citations (Spearman's correlation coefficient ρ=0.840, <0.001), PlumX captures (ρ=0.831, <0.001), PlumX mentions (ρ=0.609, =0.004), and AASs (ρ=0.542, =0.009). In conclusion, despite several acknowledged limitations, this study showed the evolving landscape of ChatGPT utility in healthcare. There is an urgent need for collaborative initiatives by all stakeholders involved to establish guidelines for ethical, transparent, and responsible use of ChatGPT in healthcare. The study revealed the correlation between citations and alternative metrics, highlighting its usefulness as a supplement to gauge the impact of publications, even in a rapidly growing research field.
自2022年11月30日公开发布以来，ChatGPT尽管存在伦理挑战、隐私问题和可能的偏差，但在各种医疗保健应用中已展现出可观的潜力。本研究的目的是通过文献计量分析来识别和评估ChatGPT在医疗保健领域应用方面最具影响力的出版物。该研究在Scopus、Web of Science和谷歌学术三个数据库上进行了高级搜索，以识别2023年11月27日至30日期间医疗保健教育、研究和实践中与ChatGPT相关的记录。排名基于每个数据库中检索到的被引频次。评估的其他替代指标包括：（1）语义学者高影响力引文，（2）PlumX捕获量，（3）PlumX提及量，（4）PlumX社交媒体数据，以及（5）Altmetric关注度得分（AAS）。在这三个数据库中，共识别出14家不同出版商的17种不同科学期刊上发表的22条独特记录。在三个数据库的前10名列表中，只有两篇出版物。识别出了不同的出版物类型，最常见的是编辑/评论类出版物（n = 8/22，36.4%）。22条记录中有9条的通讯作者隶属于美国的机构（40.9%）。每个数据库的被引频次范围各不相同，谷歌学术中识别出的范围最高（1019 - 121），其次是Scopus（242 - 88），以及Web of Science（171 - 23）。谷歌学术的引文与以下指标显著相关：语义学者高影响力引文（斯皮尔曼相关系数ρ = 0.840，<0.001）、PlumX捕获量（ρ = 0.831，<0.001）、PlumX提及量（ρ = 0.609，=0.004）和AAS（ρ = 0.542，=0.009）。总之，尽管存在一些公认的局限性，但本研究展示了ChatGPT在医疗保健领域应用的不断发展态势。迫切需要所有相关利益方开展合作倡议，以制定在医疗保健中道德、透明和负责任地使用ChatGPT的指南。该研究揭示了引文与替代指标之间的相关性，凸显了其作为衡量出版物影响力补充手段的有用性，即使是在一个快速发展的研究领域。
