[目的/意义]为解决学科与期刊的老化指标无法直接应用于单篇文献的问题,本文设计一种新的编码化描述和分析方法以研究单篇文献的老化过程。[方法/过程]根据单篇文献的逐年被引量,对单篇文献每年的老化状态进行分析,提取出4种老化状态转移点,完成对文献老化的编码化表示;通过对Web of Science中纳米科学与纳米技术学科2005年发表的10 142篇文献进行分析,验证该方法的有效性和应用价值。[结果/结论]在提出的编码化表示下,状态转移点的分布符合随时间先增后减的趋势,衰退点与总被引量具有最强的相关性,案例分析表明衰退点对于衡量文献未来可能被引状态的重要性。
[Purpose/Significance] As the classic obsolescence indexes developed for disciplines and journals cannot be directly applied for a single literature, we propose a novel coding representation and analysis method for the process of single literature obsolescence. [Method/Process] According to the annual citation amount of a single literature, this paper analyzed its obsolescence state of a single literature each year, extracted four kinds of obsolescence state transition points, and achieved the coding representation of literature obsolescence. In this paper, we conducted an empirical analysis on 10142 articles of Nanoscience & Nanotechnology in Web of Science published in 2005, and verified effectiveness and value of the method. [Result/Conclusion] With proposed coding representation method, it can be seen that the distribution of state transition points increases first and then decreases with time, and the decline points have the strongest correlation with the total cited quantity. Case study demonstrates the importance of the decline points to measure the possible future cited state of literature.
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