Matching MEDLINE/PubMed Data with Web of Science (Wos): A Routine in R Language.

12 Pages Posted: 7 Mar 2016

See all articles by Daniele Rotolo

Daniele Rotolo

SPRU (Science Policy Research Unit), University of Sussex

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR)

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Date Written: July 1, 2014

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".

Suggested Citation

Rotolo, Daniele and Leydesdorff, Loet, Matching MEDLINE/PubMed Data with Web of Science (Wos): A Routine in R Language. (July 1, 2014). Forthcoming SWPS 2014-14 (Research Methods), Available at SSRN: https://ssrn.com/abstract=2742165

Daniele Rotolo (Contact Author)

SPRU (Science Policy Research Unit), University of Sussex ( email )

Jubilee Building - Room 383
Brighton, Sussex BN19SL
United Kingdom

HOME PAGE: http://www.danielerotolo.com

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR) ( email )

PO Box 15793
Amsterdam, 1001 NG
Netherlands

HOME PAGE: http://www.leydesdorff.net

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