Using the bootstrapping method to verify whether hospital physicians have different h-indexes regarding individual research achievement: A bibliometric analysis.

BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.

Intelligence quotient discrepancy indicates levels of motor competence in preschool children at risk for developmental delays.

PURPOSE: This study aimed to establish 1) whether a group difference exists in the motor competence of preschool children at risk for developmental delays with intelligence quotient discrepancy (IQD; refers to difference between verbal intelligence quotient [VIQ] and performance intelligence quotient [PIQ]) and 2) whether an association exists between IQD and motor competence. METHODS: Children's motor competence and IQD were determined with the motor subtests of the Comprehensive Developmental Inventory for Infants and Toddlers and Wechsler Preschool and Primary Scale of Intelligence™ - Fourth Edition. A total of 291 children were included in three groups: NON-IQD (n=213; IQD within 1 standard deviation [SD]), VIQ>PIQ (n=39; VIQ>PIQ greater than 1 SD), and PIQ>VIQ (n=39; PIQ>VIQ greater than 1 SD). RESULTS: The results of one-way analysis of variance indicated significant differences among the subgroups for the "Gross and fine motor" subdomains of the Comprehensive Developmental Inventory for Infants and Toddlers, especially on the subtests of "body-movement coordination" (F=3.87, P<0.05) and "visual-motor coordination" (F=6.90, P<0.05). Motor competence was significantly worse in the VIQ>PIQ group than in the NON and PIQ>VIQ groups. Significant negative correlations between IQD and most of the motor subtests (r=0.31-0.46, P<0.01) were found only in the VIQ>PIQ group. CONCLUSION: This study demonstrates that 1) IQD indicates the level of motor competence in preschoolers at risk for developmental delays and 2) IQD is negatively associated with motor competence in preschoolers with significant VIQ>PIQ discrepancy. The first finding was that preschoolers with VIQ>PIQ discrepancy greater than 1 SD performed significantly worse on motor competence than did preschoolers without significant IQD and preschoolers with PIQ>VIQ discrepancy greater than 1 SD. However, preschoolers with significant PIQ>VIQ discrepancy performed better on motor competence than did preschoolers without significant IQD, though the difference was not statistically significant. The second finding was that preschoolers with larger VIQ>PIQ discrepancy had worse motor competence in visual-motor integration and body-movement coordination. Professionals should pay attention to the motor development of children with VIQ>PIQ discrepancy and evaluate children's IQD along with their motor competence.