A multi-database approach to field delineation

Andreas Strotmann, Dangzhi Zhao, Tania Bubela

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)


Bibliometric studies have long relied on single citation databases as data sources for their field delineation phase, although a few have gone so far as to compare results obtained through the use of several databases separately. In this paper we report on an effort to systematically combine a number of databases to collect metadata records for the literature that defines a research field. In three case studies, we have combined information retrieved from PubMed with metadata from Scopus, and employed the NCBI Entrez Genes database to delineate research areas. At the core of the multi-database field delineation approach that we describe are: first, a method for matching full records back and forth between the Scopus and PubMed databases (95% or higher match rate) augmented by a method for matching Scopus cited references to PubMed records (90% success rate); and second, the wealth of information and services available from NCBI that is connected to individual PubMed records through its various Entrez database connections. Our approach allows us to combine strengths and overcome weaknesses of multiple databases, for an excellent coverage of the target area - interdisciplinary biomedical research.

Original languageEnglish
Number of pages5
Publication statusPublished - 2009
Externally publishedYes
Event12th International Conference on Scientometrics and Informetrics, ISSI 2009 - Rio de Janeiro, Brazil
Duration: 14 Jul 200917 Jul 2009


Conference12th International Conference on Scientometrics and Informetrics, ISSI 2009
CityRio de Janeiro


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