Article level scientometric indicators (ALMs) are usually of cumulative nature making articles of different age hard to compare. Here, we introduce a new ALM, the Time Debiased Significance Score (TDSS), which measures the significance of a publication based on the structure of the whole citation network and eliminates the global ageing bias in the network: older publications should not be a priori privileged or disadvantaged compared to newer ones. The TDSS is based on a modified variant of the PageRank measure, incorporating a mathematically consistent temporal detrending and ensuring a few key features: (i) the TDSS should not show any global trend as a function of the topological index (causal order in the citation network); (ii) the TDSS value of a publication should decrease as time passes (and the citation network grows) if no more citations are associated with it. The above definition is beneficial in multiple ways, including e.g. low computational complexity and weak domain dependence. Further, estimation of reliability of the TDSS and its extension to groups of items like overall score of a research group are also possible.

物品级别的科学计量指标（ALM）通常具有累积性，因此很难比较不同年龄的物品。在这里，我们引入了一个新的ALM，即时间无偏重要性评分（​​TDSS），该评分基于整个引文网络的结构来衡量出版物的重要性，并消除了该网络中的全球老龄化偏差：较早的出版物不应该是先验的与较新的相比，具有特权或处于劣势。TDSS基于PageRank量度的改进变体，结合了数学上一致的时间趋势，并确保了一些关键特征：（i）TDSS不应显示任何整体趋势，这是拓扑指数的函数（引证中的因果顺序）网络）; （ii）如果没有更多的引用，则出版物的TDSS值应随着时间的流逝而减小（并且引用网络会不断增长）。上面的定义以多种方式是有益的，包括例如低计算复杂度和弱域依赖性。此外，还可以估计TDSS的可靠性，并将其扩展到项目组，例如研究组的总分。