Cascading Citation Expansion
Cascading Citation Expansion
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DOI：
10.1633/jistap.2018.6.2.1
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Chaomei Chen
中科院分区：
文献类型：
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作者：
Chaomei Chen
Digital Science的Dimensions被设想为下一代研究和发现平台，可以更好、更有效地访问交叉引用的学术出版物、拨款、专利和临床试验。作为不断增长的开放引文资源的新成员，它提供了机会，可以使研究人员、政策制定者和公众等各种科学出版物的利益相关者受益。在这篇文章中，我们探索并展示了一些在级联引文扩展方面的实际潜力。给定一组出版物，可以将级联式引文扩展流程依次应用于一组文章，从而通过引文链接将覆盖范围扩展到越来越多的相关文章。虽然这个概念的起源可以追溯到加菲尔德的引文索引，但直到最近，它在很大程度上受到限制，只有少数人可以无限制地访问一个足够大的引文数据库，以维持这种迭代扩展。基于Dimensions的开放API，我们在CiteSpace中集成了级联引文扩展功能，并演示了如何从这些新功能中受益。总之，级联引文扩展有可能提高我们对科学知识结构和动态的理解。
Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for a better and more efficient access to cross-referenced scholarly publications, grants, patents, and clinical trials. As a new addition to the growing open citation resources, it offers opportunities that may benefit a wide variety of stakeholders of scientific publications from researchers, policy makers, and the general public. In this article, we explore and demonstrate some of the practical potentials in terms of cascading citation expansions. Given a set of publications, the cascading citation expansion process can be successively applied to a set of articles so as to extend the coverage to more and more relevant articles through citation links. Although the conceptual origin can be traced back to Garfield's citation indexing, it has been largely limited, until recently, to the few who have unrestricted access to a citation database that is large enough to sustain such iterative expansions. Building on the open API of Dimensions, we integrate cascading citation expansion functions in CiteSpace and demonstrate how one may benefit from these new capabilities. In conclusion, cascading citation expansion has the potential to improve our understanding of the structure and dynamics of scientific knowledge.