Citing a Data Repository: A Case Study of the Protein Data Bank.
Citing a Data Repository: A Case Study of the Protein Data Bank.
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DOI：
10.1371/journal.pone.0136631
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Hsu CN
中科院分区：
文献类型：
--
作者：
Huang YH;Rose PW;Hsu CN
蛋白质数据库 (PDB) 是蛋白质、核酸和复杂组件 3D 结构的全球存储库。 PDB 的大型数据集（> 100,000 个结构）和相关引用为开发和理解数据引用和访问指标提供了组织良好且广泛的测试集。在本文中，我们对作者如何引用 PDB 作为数据存储库进行了系统调查。我们描述了一种基于信息级联的新颖指标，通过探索引用网络来衡量竞争作品之间的影响力，并将其应用于分析 PDB 的不同数据引用实践。根据这个新指标，我们发现 2000 年 RCSB PDB 的原始出版物继续吸引最多的引用，尽管发布了许多后续更新。 wwPDB组织成员的这些后续出版物在引用率和影响力方面都无法与原始出版物竞争。与此同时，作者越来越多地选择在文本中使用 PDB 的 URL，而不是引用 PDB 论文，导致文献引用增长受到干扰。数据使用统计和论文引用的比较表明，PDB Web 访问与文本中提及的 URL 高度相关。结果揭示了作者如何引用生物医学数据存储库的趋势，并可能为如何衡量数据存储库的影响提供有用的见解。
The Protein Data Bank (PDB) is the worldwide repository of 3D structures of proteins, nucleic acids and complex assemblies. The PDB’s large corpus of data (> 100,000 structures) and related citations provide a well-organized and extensive test set for developing and understanding data citation and access metrics. In this paper, we present a systematic investigation of how authors cite PDB as a data repository. We describe a novel metric based on information cascade constructed by exploring the citation network to measure influence between competing works and apply that to analyze different data citation practices to PDB. Based on this new metric, we found that the original publication of RCSB PDB in the year 2000 continues to attract most citations though many follow-up updates were published. None of these follow-up publications by members of the wwPDB organization can compete with the original publication in terms of citations and influence. Meanwhile, authors increasingly choose to use URLs of PDB in the text instead of citing PDB papers, leading to disruption of the growth of the literature citations. A comparison of data usage statistics and paper citations shows that PDB Web access is highly correlated with URL mentions in the text. The results reveal the trend of how authors cite a biomedical data repository and may provide useful insight of how to measure the impact of a data repository.