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科学论文中的“昙花一现” 精选

已有 9790 次阅读 2014-9-9 11:01 |系统分类:论文交流| 文献计量, 昙花一现, 睡美人, 全要素睡美人

       与“睡美人”的被引曲线相反,“昙花一现”这一类论文一经发表立即被大量引用,但持续时间很短,之后逐渐被人遗忘。“昙花一现”反映的是科研领域的快速更迭;“睡美人”反映的是科研成果中迟到的认可。二者存在的概率均较低。“昙花一现”出现的原因有很种,例如:一个科学热点被另一个科学热点所取代,一个热点研究问题得到解决,一项解决方案被另一项更优的解决方案所取代……。总而言之,这些现象更符合自然科学领域的研究特征,因此,在自然科学领域出现的概率远高于社会科学。

       另有一类被引曲线极为独特,在图形上看(参见附图),论文发表之后的一段时间内前期符合“昙花一现”,后期符合“睡美人”。也就是说,一项研究成果发表之初立即引发大量关注,成为热点,此后若干年里被人遗忘,但不久之后,它的价值又一次被人发现,因此引发了第二波大量关注,第二次成为热点。这种现象出现的概率更低。我们在1900-2012年所有诺贝尔科学奖获得者发表并被Web of Science收录的12862篇论文中找到了两个案例,并将这种现象写成了一篇论文,发表在Scientometrics(SSCI收录)http://link.springer.com/article/10.1007/s11192-013-1217-z  。论文中还详细讨论了如何睡美人与王子的happy ending。


附论文标题与摘要

       Citation Curves of "All-elements-sleeping-beauties":“Flash in the Pan” first and then “DelayedRecognition”

       Abstract “Delayed recognition” refers to the phenomenon where papers did notachieve any sort of recognition until some years after their originalpublication. A paper with delayed recognition was termed a “sleeping beauty”: aprincess sleeps (goes unnoticed) for a long time and then, almost suddenly, isawakened (receives a lot of citations) by a prince (another article). There area sleeping period and an awakening period in the definition of a “sleepingbeauty”. Apart from and prior to the two periods, an awaking period was found incitation curves of some publications, “sleeping beauties” was hence expanded to“all-elements-sleeping-beauties”. The opposite effect of “delayed recognition”was described as “flash in the pan”: documents that were noticed immediately afterpublication but did not seem to have a lasting impact. In this work, we brieflydiscussed the citation curves of two remarkable “all-elements-sleeping-beauties”.We found they appeared “flash in the pan” first and then “delayed recognition”.We also found happy endings of sleeping beauties and princes, and hence suggestthe citation curve of an “all-elements-sleeping-beauty” include an awakingperiod, a sleeping period, an awakening period and a happy ending.


附图(详解参见原文)






https://blog.sciencenet.cn/blog-1792012-826154.html

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