Roldan-Valadez Ernesto, Rios Camilo
aCoordination of Research and Innovation, Magnetic Resonance Unit, Medica Sur Clinic and Foundation bDepartment of Neurochemistry, National Institute of Neurology and Neurosurgery, Mexico City, Mexico.
Eur J Gastroenterol Hepatol. 2015 Feb;27(2):115-22. doi: 10.1097/MEG.0000000000000253.
A deeper understanding of supplementary bibliometrics beyond the impact factor might provide researchers with a better understanding of the citation process. This study presents a multivariate analysis of gastroenterology and hepatology journals to evaluate the predictive ability of seven bibliometrics in the Web of Science to calculate total cites over a 2-year period.
Coincidentally, bibliometrics appearing during 2008, 2009, and 2010, with their corresponding cites in 2010, 2011, and 2012, were recorded from the Journal Citation Reports Science Edition. A linear mixed-effects design using random slopes and intercepts was performed on 51 out of 74 journals in the Gastroenterology and Hepatology category.
There was a significant global effect size (R(2) = 0.992; P < 0.001), which yielded a total variance of 99.2%. The strongest predictors in the model were the Eigenfactor Score and Cited Half-life (P < 0.001), followed by the Number of Articles (P = 0.011) and the Immediacy Index (P = 0.021). The impact factor was not a significant predictor.
The Eigenfactor Score and Cited Half-life predictors might be the new standards to assess the influence and importance of scientific journals; this approach may help researchers select journals in which to publish their work.
对除影响因子之外的补充文献计量学有更深入的理解，可能会让研究人员更好地理解引用过程。本研究对胃肠病学和肝病学期刊进行了多变量分析，以评估科学网中七种文献计量学在计算两年期总被引频次方面的预测能力。
巧合的是，从《期刊引证报告：科学版》记录了2008年、2009年和2010年出现的文献计量学指标及其在2010年、2011年和2012年相应的被引频次。对胃肠病学和肝病学类别中74种期刊中的51种进行了使用随机斜率和截距的线性混合效应设计。
存在显著的总体效应量（R(2)=0.992；P<0.001），产生的总方差为99.2%。模型中最强的预测指标是特征因子得分和被引半衰期（P<0.001），其次是论文数量（P=0.011）和即时指数（P=0.021）。影响因子不是显著的预测指标。
特征因子得分和被引半衰期预测指标可能是评估科学期刊影响力和重要性的新标准；这种方法可能有助于研究人员选择发表其作品的期刊。
