Subsetted bibliometric search for ecology articles
收藏DataONE2017-03-24 更新2024-06-26 收录
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This dataset is a subset of a bibliometric search (see data description of full dataset). We choose every 5th article and used the information in the abstract, keywords and the title to manually classify each of those articles into 3 categories: Modelling article (MO, SM, MOFI, PHY, FI) , experimental article and articles that combined an experimental (EX) and a modelling approach (MIX) . The individual classification is described for each entry in the field code GR. We pooled the different modeling types (statistical modeling, phylogenetic modeling, individual based modeling, etc) into one category for the bibliometric analysis.
本数据集为某文献计量检索数据集的子集(完整数据集的详细信息请参见其数据描述文档)。我们采用系统抽样方式,每5篇文献中选取1篇,并基于所选文献的摘要、关键词及标题信息,通过人工标注将其划分为三大类别:建模类文章(Modelling article,缩写为MO、SM、MOFI、PHY、FI)、实验类文章,以及同时融合实验(EX)与建模方法的混合类文章(MIX)。每条文献的具体分类结果均记录于字段代码GR中。为开展本次文献计量分析,我们将各类建模范式(涵盖统计建模、系统发育建模、基于个体的建模等)统一归为建模类这一单一类别。
创建时间:
2017-03-24



