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arXiv 1807.01049cs.DL
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一种基于基本定量和定性文献计量指标几何平均数的方法,用于评价和分析国家和机构的研究绩效

An approach based on the geometric mean of basic quantitative and qualitative bibliometric indicators to evaluate and analyse the research performance of countries and institutions

Domingo Docampo, Jean-Jacques Bessoule

摘要:

我们提出了一个简单的程序来评估地区和机构的科学贡献,结合了研究文献(N)和引文(C)数量的大小依赖的几何平均值Q,以及质量的无标度度量,q=C/N。我们引入全球研究产出(GRO指数)作为Q和q的几何平均值。我们发现,GRO指数与h指数相关,但似乎与其他众所周知的,广泛使用的文献计量指标更密切相关。我们还计算了与研究领域内的科学生产相关的相对GRO指数(GROr)。我们注意到,尽管GROr值的总和大于GRO指数,但由于几何平均值计算中的非线性,两个计数仍然高度相关。这使我们能够对各领土和机构进行有益的比较分析。此外,为了识别特定国家或机构的优势和劣势,我们计算了相对研究产出计数(RRor指数),以解决跨研究领域的C/N比的变化。此外,通过使用一个财富指数也基于定量和定性变量,我们表明,GRO和RRO指数是高度相关的国家和美国各州的财富。鉴于本文介绍的程序简单,其结果很容易被非专业人士理解,我们相信它们可以成为有用的国家和机构的研究成果的评估影响因子是期刊或h指数的个人。

英文摘要:

We present a straightforward procedure to evaluate the scientific contribution of territories and institutions that combines the size-dependent geometric mean, Q, of the number of research documents (N) and citations (C), and a scale-free measure of quality, q=C/N. We introduce a Global Research Output (GRO-index) as the geometric mean of Q and q. We show that the GRO-index correlates with the h-index, but appears to be more strongly correlated with other well known, widely used bibliometric indicators. We also compute relative GRO-indexes (GROr) associated with the scientific production within research fields. We note that although total sums of GROr values are larger than the GRO-index, due to the non-linearity in the computation of the geometric means, both counts are nevertheless highly correlated. That enables us to make useful comparative analyses among territories and institutions. Furthermore, to identify strengths and weaknesses of a given country or institution, we compute a Relative Research Output count (RROr-index) to tackle variations of the C/N ratio across research fields. Moreover, by using a wealth-index also based on quantitative and qualitative variables, we show that the GRO and RRO indexes are highly correlated with the wealth of the countries and the states of the USA. Given the simplicity of the procedures introduced in this paper and the fact that their results are easily understandable by non-specialists, we believe they could become as useful for the assessment of the research output of countries and institutions as the impact factor is for journals or the h-index for individuals.

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