Diaz-Ruiz Araceli, Orbe-Arteaga Ulises, Rios Camilo, Roldan-Valadez Ernesto
Departament of Neurochemistry, Mexican National Institute of Neurology and Neurosurgery, Mexico City,, Mexico.
Magnetic Resonance Unit, Medica Sur Clinic and Foundation, Mexico City,, Mexico.
Neurol India. 2018 Jan-Feb;66(1):96-104. doi: 10.4103/0028-3886.222880.
The decision about which journal to choose for the publication of research deserves further investigation.
In this study, we evaluate the predictive ability of seven bibliometrics in the Web of Knowledge to calculate total cites over a 7-year period in neuroscience journals.
Coincidental bibliometrics appearing during 2007, 2008, 2009, 2010, and 2011, along with their corresponding cites in 2009, 2010, 2011, 2012, and 2013, were recorded from the journal citation reports (JCR) Science Edition. This was a retrospective study.
This was a bibliographic research using data from the Web of Knowledge in the neuroscience category.
A linear-mixed effects design using random slopes and intercepts was performed on 275 journals in the neuroscience category.
We found that Eigenfactor score, cited half-life, immediacy index, and number of articles are significant predictors of 2-year-ahead total cites (P ≤ 0.010 for all variables). The impact factor, 5-year impact factor, and article influence score were not significant predictors; the global effect size was significant (R2= 0.999; P < 0.001) with a total variance of 99.9%.
An integrative model using a set of several metrics could represent a new standard to assess the influence and importance of scientific journals, and may simultaneously help researchers to rank journals in their decision-making during the manuscript submission phase.
关于选择哪本期刊发表研究成果的决策值得进一步研究。
在本研究中，我们评估了Web of Knowledge中七种文献计量学指标对神经科学期刊7年总被引次数的预测能力。
从期刊引证报告（JCR）科学版中记录了2007年、2008年、2009年、2010年和2011年出现的文献计量学指标及其在2009年、2010年、2011年、2012年和2013年的相应被引次数。这是一项回顾性研究。
这是一项利用神经科学领域Web of Knowledge数据进行的文献研究。
对神经科学领域的275种期刊采用了带有随机斜率和截距的线性混合效应设计。
我们发现特征因子得分、被引半衰期、即时指数和文章数量是提前两年总被引次数的显著预测指标（所有变量P≤0.010）。影响因子、5年影响因子和文章影响力得分不是显著预测指标；总体效应量显著（R2 = 0.999；P < 0.001），总方差为99.9%。
使用一组多个指标的综合模型可以代表评估科学期刊影响力和重要性的新标准，并且可能同时帮助研究人员在稿件提交阶段的决策过程中对期刊进行排名。
