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首页> 外文期刊>Scientometrics >Redistributed random sampling method for categorizing materials research publications from SCI database: Metallurgy and polymer subfields
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Redistributed random sampling method for categorizing materials research publications from SCI database: Metallurgy and polymer subfields

机译：重新分配的随机抽样方法，用于对来自SCI数据库的材料研究出版物进行分类：冶金和聚合物子领域

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摘要

This article introduced two sampling methods, including Directly Random Sampling (DRS) and Redistributed Random Sampling (RRS) methods for categorization of a large number of research articles retrieved from metallurgy and polymer subfields from the Science Citation Index (SCI) database. The accuracy of the proposed sampling methods was considered in association by comparing with reference results previously obtained by Fully Retrieving Sampling (FRS) method, which involved analyzing the contents and categories of all articles from the database. The results suggested that RRS and DRS methods were appropriate, efficient and reasonably accurate for categorization of relatively large volume of research articles. RRS method was highly recommended, especially when the contents of sample articles was unevenly distributed. By DRS and RRS methods, only about 6.3% of total articles were required for obtaining similar results as those given by FRS method. The percentage Expected Worst Errors (EWE) from DRS and RRS methods were observed to range from 1.0 to 5.5%. The EWE value could be reduced by increasing the sample size.
机译：本文介绍了两种采样方法，包括直接随机采样（DRS）和重新分布随机采样（RRS）方法，用于对从科学引文索引（SCI）数据库中检索的冶金和聚合物子领域中的大量研究论文进行分类。通过与之前通过全检索采样（FRS）方法获得的参考结果进行比较，关联考虑了所提出的采样方法的准确性，该参考结果涉及分析数据库中所有文章的内容和类别。结果表明，RRS和DRS方法适用于相对大量研究文章的分类，是适当，有效和合理的。强烈建议使用RRS方法，尤其是当样品内容物分布不均匀时。通过DRS和RRS方法，仅需要约6.3％的文章即可获得与FRS方法相似的结果。观察到DRS和RRS方法的最差错误（EWE）百分比在1.0到5.5％之间。 EWE值可以通过增加样本量来减小。

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  • 来源
    《Scientometrics》 |2009年第1期|13-21|共9页
  • 作者

    T. Buranathiti; N. Premkamolnetr; T. Markpin; P. Ratchatahirun; W. Yochai; N. Sombatsompop;

  • 作者单位

    Polymer Processing and Flow (P-PROF) Group, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi (KMUTT), Thungkru, Bangmod, Bangkok, 10140, Thailand;

    Policy Innovation (PI) Centre, King Mongkut’s University of Technology Thonburi (KMUTT), Thungkru, Bangmod, Bangkok, 10140, Thailand;

    Polymer Processing and Flow (P-PROF) Group, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi (KMUTT), Thungkru, Bangmod, Bangkok, 10140, Thailand;

    Polymer Processing and Flow (P-PROF) Group, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi (KMUTT), Thungkru, Bangmod, Bangkok, 10140, Thailand;

    Thai-Journal Citation Index (TCI) Centre, KMUTT Library, King Mongkut’s University of Technology Thonburi (KMUTT), Thungkru, Bangmod, Bangkok, 10140, Thailand;

    Polymer Processing and Flow (P-PROF) Group, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi (KMUTT), Thungkru, Bangmod, Bangkok, 10140, Thailand;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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