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Method for predicting citation counts

机译:预测引用次数的方法

摘要

A computerized process to predict citation counts of articles using only information available before or at the time of publication. The process involves obtaining a set of articles and extracting a set of features containing information about the article, author, and bibliometric data. The extracted features are converted into a format suitable for analysis, and models are constructed using a pattern recognition process. The constructed models are applied to a related article that was not included in the original article set for model construction. Features are extracted from the article of interest, and the models provide a prediction of whether a given number of citations will be received by the article.
机译:仅使用出版物发布之前或发布时可用的信息来预测文章引用次数的计算机化过程。该过程涉及获取一组文章并提取一组包含有关该文章,作者和文献计量数据的信息的特征。提取的特征将转换为适合分析的格式,并使用模式识别过程来构建模型。所构建的模型将应用于相关文章,该文章未包含在用于模型构建的原始文章集中。从感兴趣的文章中提取特征,并且模型可以预测文章是否会收到给定数量的引用。

著录项

  • 公开/公告号US8527442B2

    专利类型

  • 公开/公告日2013-09-03

    原文格式PDF

  • 申请/专利权人 LAWRENCE FU;CONSTANTIN ALIFERIS;

    申请/专利号US20080289970

  • 发明设计人 LAWRENCE FU;CONSTANTIN ALIFERIS;

    申请日2008-11-07

  • 分类号G06F17;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-21 16:44:36

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