可以客观地预测后年的期刊影响因子

M. Rocha-e-Silva
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引用次数: 4

摘要

目的:确定能否客观预测后年期刊影响因子变化趋势。方法:将本年度(第1年和第2年)前两年发表的文章及其本年度(未完成年度)的引用数/文献数曲线构建。分别构建了YEAR-1和YEAR-2的曲线。已经定义了一个名为INDEX R的参数。INDEX R是随机选取影响因子在1 - 3范围内的100种期刊进行计算的。结果:INDEX R呈准正态分布,符合高斯分布(0.10 > p > 0.05)。平均值为0.60±0.19。结论:作为一个工作假设,我们认为INDEX R可能表明影响因子在2018年夏季发表的一年后(2017年)出现趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Journal Impact Factors for the year-after the next can be objectively predicted
OBJECTIVE: To determine whether trends of Journal Impact factor variation can be objectively predicted for the year after next. METHOD: Curves for citations/document have been constructed for articles published in the two years previous to the current year (YEAR-1 and YEAR-2) and their citations in the current (unfinished year). Separate curves were constructed for YEAR-1 and YEAR-2. A parameter named INDEX R has been defined. INDEX R was calculated for a randomly selected sample of 100 journals with Impact Factors in the 1 - 3 range. RESULTS: INDEX R was found to distribute in a quasi-normal manner, with a borderline adherence to the Gauss distribution (0.10 > p > 0.05). A mean value of 0.60 ± 0.19 was observed. CONCLUSION: As a working hypothesis, it is suggested that INDEX R may indicate a trend for the Impact Factor to occur for the year-after (2017), to be published in the summer of 2018.
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