Matching MEDLINE/PubMed Data with Web of Science (WOS): A Routine in R language

Daniele Rotolo and Loet Leydesdorff

SPRU Working Paper Series from SPRU - Science Policy Research Unit, University of Sussex Business School

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 Subject 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".

Keywords: Medical Subject Headings; MEDLINE/PubMed; Web of Science; database integration; R; case-study (search for similar items in EconPapers)
Date: 2014-08
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sussex.ac.uk/spru/documents/1412-rotolo ... -medliner-wos-wp.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sru:ssewps:2014-14

Access Statistics for this paper

More papers in SPRU Working Paper Series from SPRU - Science Policy Research Unit, University of Sussex Business School Contact information at EDIRC.
Bibliographic data for series maintained by University of Sussex Business School Communications Team ().