Kung Sheng-Chun, Chien Tsair-Wei, Yeh Yu-Tsen, Lin Jui-Chung John, Chou Willy
Department of physical medicine and rehabilitation.
Research Department, Chi-Mei Medical Center, Tainan, Taiwan.
Medicine (Baltimore). 2020 Aug 14;99(33):e21552. doi: 10.1097/MD.0000000000021552.
Individual researchers' achievements (IRA) are determined by both personal publications and article citations such as Author Impact Factor, h-index, and x-index. Due to those indicators not truly supporting a normal distribution, the traditional t-test and Analysis of variance are not allowed for RA comparison in groups. The objective of this study is to use the bootstrapping method to verify whether hospital physicians have different h-indexes.
We downloaded 63,266 journal articles with their corresponding citations for 2128 researchers from a Taiwan university website on December 10, 2019. Their IRAs were assessed using the bibliometric h-index. A pyramid plot was used to compare the h-index patterns between institutes. The x-index and the Kano model were found to be complemental to the h-index for identifying the group IRA characteristics and rankings, including colleges and departments in the university study, the School of Medicine, and the Affiliated Hospital. The bootstrapping method was applied with an estimated 95% confidence interval (CI) to distinguish the differences in physicians between the Internal Medicine and Surgery departments. The stronger-than-the-next coefficient (SC) for the highest represents the RA strength.
The highest h-indices were found in the College of Engineering, School of Medicine, and the Department of Internal Medicine in groups of colleges (SC = 0.71), all departments (SC = 0.83), the School of Medicine (SC = 0.74), and the Affiliated Hospital (SC = 0.56), respectively. No difference in h-index for hospital physicians was found between departments in Internal Medicine (Mean = 2.14, 95% CI = 1.02,3.26) and Surgery (mean = 2.5, 95%CI = 1.48, 3.52).
The x-index and the Kano models can complement the h-index for identifying group IRA characteristics. The bootstrapping method allows estimation of the sampling distribution for almost any statistic using random sampling methods and gains measures of accuracy (as defined by 95% CI). The finding of no difference in h-index for hospital physicians between departments in Internal Medicine and Surgery requires further investigation in the future.
个体研究者的成就（IRA）由个人发表的论文以及诸如作者影响因子、h指数和x指数等文章被引次数决定。由于这些指标并不真正支持正态分布，因此传统的t检验和方差分析不适用于组间的IRA比较。本研究的目的是使用自助法来验证医院医生的h指数是否存在差异。
2019年12月10日，我们从台湾一所大学的网站上下载了2128名研究者的63266篇期刊文章及其相应的被引次数。使用文献计量学h指数评估他们的IRA。采用金字塔图比较各机构之间的h指数模式。发现x指数和卡诺模型可补充h指数，用于识别群体IRA特征和排名，包括大学研究中的学院和系、医学院以及附属医院。应用自助法并估计95%置信区间（CI）以区分内科和外科医生之间的差异。最高的强于下一个系数（SC）代表RA强度。
在学院组（SC = 0.71）、所有系（SC = 0.83）、医学院（SC = 0.74）和附属医院（SC = 0.56）中，工程学院、医学院和内科的h指数最高。在内科（均值 = 2.14，95% CI = 1.02, 3.26）和外科（均值 = 2.5，95% CI = 1.48, 3.52）的科室中，未发现医院医生的h指数存在差异。
x指数和卡诺模型可补充h指数以识别群体IRA特征。自助法允许使用随机抽样方法估计几乎任何统计量的抽样分布，并获得准确性度量（由95% CI定义）。内科和外科科室的医院医生h指数无差异这一发现未来需要进一步研究。
