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Prediction of highly cited papers

机译:高被引论文的预测

摘要

In an article written five years ago [arXiv:0809.0522], we described a methodfor predicting which scientific papers will be highly cited in the future, evenif they are currently not highly cited. Applying the method to real citationdata we made predictions about papers we believed would end up being wellcited. Here we revisit those predictions, five years on, to see how well wedid. Among the over 2000 papers in our original data set, we examine the fiftythat, by the measures of our previous study, were predicted to do best and wefind that they have indeed received substantially more citations in theintervening years than other papers, even after controlling for the number ofprior citations. On average these top fifty papers have received 23 times asmany citations in the last five years as the average paper in the data set as awhole, and 15 times as many as the average paper in a randomly drawn controlgroup that started out with the same number of citations. Applying ourprediction technique to current data, we also make new predictions of papersthat we believe will be well cited in the next few years.
机译:在5年前写的一篇文章中[arXiv:0809.0522],我们描述了一种预测将来哪些科学论文将被高度引用的方法,即使它们目前未被高度引用。将该方法应用于实际的引文数据,我们对论文进行了预测,认为最终会被很好地引用。在这里,我们将回顾五年后的预测,以了解婚姻状况如何。在我们原始数据集中的2000多篇论文中,我们检查了50篇通过我们先前研究的方法被预测为效果最好的论文,我们发现,即使控制了这些因素,在过去的几年中它们的确比其他论文受到了更多的引用。先前引用的次数。在过去五年中,前50篇论文的平均被引用次数是数据集中的平均论文总数的23倍,是随机抽取的对照组中平均论文数的15倍。引用。将我们的预测技术应用到当前数据中,我们还对论文进行了新的预测,我们相信在未来几年中会得到很好的引用。

著录项

  • 作者

    Newman, M. E. J.;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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