From the Department of Radiology and Biomedical Imaging (V.M.Z., L.H.S.), Yale School of Medicine, New Haven, Connecticut
From the Department of Radiology and Biomedical Imaging (V.M.Z., L.H.S.), Yale School of Medicine, New Haven, Connecticut.
AJNR Am J Neuroradiol. 2020 May;41(5):766-771. doi: 10.3174/ajnr.A6523. Epub 2020 Apr 16.
Scientific collaboration is traditionally acknowledged through coauthorship. Studies on this topic are few in the neuroimaging literature. This study is a bibliometric analysis of the between 1980 and 2018, with the primary aim of evaluating changes in article collaboration.
Full bibliographic records from 1980 to 2018 were retrieved. Yearly metrics calculated included the number of articles published, the average number of authors, and the average number of affiliations per article. The levels of evidence of 160 random articles were determined. Geographic characteristics of author affiliations were analyzed. Changes across time were evaluated using linear regression, while Spearman rank-order correlation was used to determine relationships between level of evidence and time, number of authors, and number of affiliations.
There was a steady linear growth in the number of articles ( = 0.70, < 1e-10) from 1980 to 2018. There were clear linear increases in the average number of authors ( = 0.91, < 1e-15) and affiliations ( = 0.90, < 1e-15) per article. There was a significant correlation between level of evidence and time period (Spearman ρ = -0.42, < 1e-7), indicating that articles trended toward better methodologic quality or strength of results over time. A significant correlation existed between the level of evidence and the number of authors (Spearman ρ = -0.39, < 1e-6). There were linear increases in the average number of different geographic locales of authors per article by country/region ( = 0.80, < 1e-13), state/province ( = 0.88, < 1e-15), and locality/city/town ( = 0.86, < 1e-15).
From 1980 to 2018, as the quantity of articles published in the increased, their level of evidence improved, while an increasing number of authors with different affiliations and from different geographic locales collaborated on these articles.
科学合作传统上通过合著来认可。神经影像学文献中对此主题的研究较少。本研究对 1980 年至 2018 年的文献进行了文献计量分析，主要目的是评估文章合作的变化。
检索了 1980 年至 2018 年的完整书目记录。计算了每年的指标，包括发表的文章数量、平均作者数量以及每篇文章的平均机构数量。确定了 160 篇随机文章的证据水平。分析了作者机构的地理特征。使用线性回归评估随时间的变化，使用 Spearman 秩相关来确定证据水平与时间、作者数量和机构数量之间的关系。
从 1980 年到 2018 年，文章数量呈稳定的线性增长（ = 0.70， < 1e-10）。每篇文章的平均作者数量（ = 0.91， < 1e-15）和机构数量（ = 0.90， < 1e-15）均呈明显线性增加。证据水平与时间段之间存在显著相关性（Spearman ρ = -0.42， < 1e-7），表明随着时间的推移，文章趋向于更好的方法学质量或结果强度。证据水平与作者数量之间存在显著相关性（Spearman ρ = -0.39， < 1e-6）。每篇文章的作者的不同地理区域的平均数量按国家/地区（ = 0.80， < 1e-13）、州/省（ = 0.88， < 1e-15）和地点/城市/城镇（ = 0.86， < 1e-15）呈线性增加。
从 1980 年到 2018 年，随着发表的文章数量增加，其证据水平提高，而具有不同隶属关系和来自不同地理区域的越来越多的作者合作撰写了这些文章。
