高被引医学职业精神文献的计量学分析与替代计量评分比较。
Top-cited articles in medical professionalism: a bibliometric analysis versus altmetric scores.
机构信息
Professor of Medical Education, Department of Medical Education, King Saud University, College of Medicine, Riyadh, Saudi Arabia.
Senior Robotic Fellow, Department of Urology, Southmead Hospital, Bristol, United Kingdom.
出版信息
BMJ Open. 2019 Jul 31;9(7):e029433. doi: 10.1136/bmjopen-2019-029433.
INTRODUCTION
Citation counts of articles have been used to measure scientific outcomes and assess suitability for grant applications. However, citation counts are not without limitations. With the rise of social media, altmetric scores may provide an alternative assessment tool.
OBJECTIVES
The aims of the study were to assess the characteristics of highly cited articles in medical professionalism and their altmetric scores.
METHODS
The Web of Science was searched for top-cited articles in medical professionalism, and the characteristics of each article were identified. The altmetric database was searched to identify report for each identified article. A model to assess the relationship between the number of citations and each of the key characteristics as well as altmetric scores was developed.
RESULTS
No correlations were found between the number of citations and number of years since publication (p=0.192), number of institutes (p=0.081), number of authors (p=0.270), females in authorship (p=0.150) or number of grants (p=0.384). The altmetric scores varied from 0 to 155, total=806, median=5.0, (IQR=20). Twitter (54%) and Mendeley (62%) were the most popular altmetric resources. No correlation was found between the number of citations and the altmetric scores (p=0.661). However, a correlation was found for articles published in 2007 and after (n=17, p=0.023). To further assess these variables, a model was developed using multivariate analysis; did not show significant differences across subgroups. The topics covered were learning and teaching professionalism, curriculum issues, professional and unprofessional behaviour.
CONCLUSIONS
Altmetric scores of articles were significantly correlated with citations counts for articles published in 2007 and after. Highly cited articles were produced mainly by the USA, Canada and the UK. The study reflects the emerging role of social media in research dissemination. Future studies should investigate the specific features of highly cited articles and factors reinforcing distribution of research data among scholars and non-scholars.
简介
文章的被引次数被用来衡量科学成果，并评估其获得资助申请的适宜性。然而，被引次数并非没有局限性。随着社交媒体的兴起，替代计量分数可能提供了一种替代的评估工具。
目的
本研究旨在评估医学职业精神领域高被引文章的特征及其替代计量分数。
方法
在 Web of Science 中搜索医学职业精神领域的高被引文章，并确定每篇文章的特征。搜索替代计量数据库，以确定为每篇文章生成的报告。建立了一个模型，以评估引文数量与每个关键特征以及替代计量分数之间的关系。
结果
未发现引文数量与发表后年限（p=0.192）、机构数量（p=0.081）、作者数量（p=0.270）、作者中的女性比例（p=0.150）或资助数量（p=0.384）之间存在相关性。替代计量分数从 0 到 155 不等，总分为 806，中位数为 5.0（IQR=20）。Twitter（54%）和 Mendeley（62%）是最受欢迎的替代计量资源。未发现引文数量与替代计量分数之间存在相关性（p=0.661）。然而，对于 2007 年及以后发表的文章（n=17，p=0.023），发现了相关性。为了进一步评估这些变量，使用多元分析建立了一个模型；在子组之间没有显示出显著差异。涵盖的主题包括学习和教学专业精神、课程问题、专业和不专业行为。
结论
对于 2007 年及以后发表的文章，替代计量分数与引文数量显著相关。高被引文章主要由美国、加拿大和英国生产。本研究反映了社交媒体在研究传播中的新兴作用。未来的研究应调查高被引文章的具体特征以及加强学者和非学者之间研究数据分布的因素。
Zotero 插件