Cascading citation expansion

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for 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 and policy makers to 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 iteratively 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 application program interface 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.

Original languageEnglish
Pages (from-to)6-23
Number of pages18
JournalJournal of Information Science Theory and Practice
Volume6
Issue number2
DOIs
Publication statusPublished - 2018 Jun 1

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indexing
patent
grant
coverage
stakeholder
Application programs
Interfaces (computer)
science
resources
knowledge
Citations
Data base
Stakeholders
Politicians
Indexing
Clinical trials
Patents
Scientific publications
Resources
Scientific knowledge

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Library and Information Sciences

Cite this

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abstract = "Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for 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 and policy makers to 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 iteratively 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 application program interface 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.",
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Cascading citation expansion. / Chen, Chaomei.

In: Journal of Information Science Theory and Practice, Vol. 6, No. 2, 01.06.2018, p. 6-23.

Research output: Contribution to journalArticle

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