Matching MEDLINE/PubMed data with Web of Science (WoS): a routine in R language

Rotolo, Daniele and Leydesdorff, Loet (2015) Matching MEDLINE/PubMed data with Web of Science (WoS): a routine in R language. Journal of the Association for Information Science and Technology, 66 (10). pp. 2155-2159. ISSN 1532-2882

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Abstract

We present a novel routine, namely medlineR, based on R language, that enables the user to match data from MEDLINE/PubMed with records indexed in the ISI Web of Science (WoS) database. The matching allows exploiting the rich and controlled vocabulary of Medical Sub- ject Headings (MeSH) of MEDLINE/PubMed with additional fields of WoS. The integration provides data (e.g. citation data, list of cited reference, list of the addresses of authors’ host organisations, WoS subject categories) to perform a variety of scientometric analyses. This brief communication describes medlineR, the methodology on which it relies, and the steps the user should follow to perform the matching across the two databases. In order to specify the differences from Leydesdorff and Opthof (2013), we conclude the brief communication by testing the routine on the case of the "Burgada Syndrome".

Item Type: Article
Schools and Departments: School of Business, Management and Economics > SPRU - Science Policy Research Unit
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: Daniele Rotolo
Date Deposited: 09 Sep 2014 12:29
Last Modified: 15 Mar 2017 23:58
URI: http://sro.sussex.ac.uk/id/eprint/49874

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Project NameSussex Project NumberFunderFunder Ref
NETGENESIS: The Genesis of Networks and Power - MC IOF Daniele RotoloG1280EUROPEAN UNIONPIOF-GA-2012-331107
Mapping the Dynamics of Emerging Technologies:G0499ESRC-ECONOMIC & SOCIAL RESEARCH COUNCILRES 360 25 0076