How to identify the roots of broad research topics and fields? The introduction of RPYS sampling using the example of climate change research
How to identify the roots of broad research topics and fields? The introduction of RPYS sampling using the example of climate change research
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如何确定广泛的研究主题和领域的根源？
DOI：
10.1177/0165551519837175
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发表时间：
2018
影响因子：
2.4
通讯作者：
L. Bornmann
中科院分区：
文献类型：
--
作者：
R. Haunschild;W. Marx;Andreas Thor;L. Bornmann
自从参考出版物年光谱学方法(RPYS)和相应的程序CRExplorer问世以来，已经发表了许多研究，揭示了主题、领域和研究人员的历史根源。到目前为止，该方法的应用受到用于运行CRExplorer的计算机可用内存的限制。因此，许多用户无法针对更广泛的研究领域或主题执行RPYS。在本研究中，我们提出了多种抽样方法来解决这一问题：随机抽样、系统抽样和整群抽样。我们介绍了CRExplorer的脚本语言，它可以用来从人口数据集中提取许多样本。基于气候变化研究出版物的大量数据集，我们比较了使用人口数据的RPYS结果和使用不同抽样技术的RPYS结果。从我们与整个RPYS(总体谱图)的比较中，我们得出结论：整群抽样的表现最差，而系统抽样的表现最好。随机抽样的表现也很好，但不如系统抽样。因此，这项研究表明抽样方法在应用RPYS方面是卓有成效的。
Since the introduction of the reference publication year spectroscopy (RPYS) method and the corresponding programme CRExplorer, many studies have been published revealing the historical roots of topics, fields and researchers. The application of the method was restricted up to now by the available memory of the computer used for running the CRExplorer. Thus, many users could not perform RPYS for broader research fields or topics. In this study, we present various sampling methods to solve this problem: random, systematic and cluster sampling. We introduce the script language of the CRExplorer that can be used to draw many samples from the population data set. Based on a large data set of publications from climate change research, we compare RPYS results using population data with RPYS results using different sampling techniques. From our comparison with the full RPYS (population spectrogram), we conclude that the cluster sampling performs worst and the systematic sampling performs best. The random sampling also performs very well but not as well as the systematic sampling. The study therefore demonstrates the fruitfulness of the sampling approach for applying RPYS.
DOI：
10.1002/asi.23329
发表时间：
2015-11-01
影响因子：
3.5
作者：
Bornmann, Lutz;Mutz, Ruediger
通讯作者：
Mutz, Ruediger