1,720,992 research outputs found

    Matching Medline/PubMed data with Web of Science: A routine in R language

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    We present a novel routine, namely medlineR, based on the R language, that allows 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 organizations, WoS subject categories) to perform a variety of scientometric analyses. This brief communication describes medlineR, the method on which it relies, and the steps the user should follow to perform the matching across the two databases. To demonstrate the differences from Leydesdorff and Opthof (Journal of the American Society for Information Science and Technology, 64(5), 1076-1080), we conclude this artcle by testing the routine on the MeSH category "Burgada syndrome.

    Text-mining historical sources to trace technological change: The case of mass production

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    This paper explores the use of large-scale and longitudinal textual analysis of historical sources to trace technological change over periods longer than 100 years. The notion of technical change has been central to research efforts in Economics of Innovation, Science Policy and Innovation Studies, and Science and Technology Studies. Research efforts in these areas have focused on different aspects of technological change: these ranging from examining the determinants of technological trajectories on the basis of quantitative analysis of technological artifacts, to investigating the socio-technical factors shaping technological evolution on the basis of qualitative historical case studies. Building upon recent advances in text-mining techniques, this paper examines to what extent technological and social aspects can be jointly explored with the analysis of historical textual sources. To do so, the paper explores how these techniques can be used to trace technical change, to explore controversies relating to the acceptance of technologies, and to map the diffusion of technologies across socio-technical systems using the case of mass production

    Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons

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    Using Web of Science data, portfolio analysis in terms of journal coverage can be projected onto a base map for units of analysis such as countries, cities, universities, and firms. The units of analysis under study can be compared statistically across the 10,000+ journals. The interdisciplinarity of the portfolios is measured using Rao-Stirling diversity or Zhang et al.'s improved measure 2D3. At the country level we find regional differentiation (e.g., Latin American or Asian countries), but also a major divide between advanced and less-developed countries. Israel and Israeli cities outperform other nations and cities in terms of diversity. Universities appear to be specifically related to firms when a number of these units are exploratively compared. The instrument is relatively simple and straightforward, and one can generalize the application to any document set retrieved from the Web of Science (WoS). Further instruction is provided online at http://www.leydesdorff.net/portfolio

    Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed

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    Multiple perspectives on the nonlinear processes of medical innovations can be distinguished and combined using the Medical Subject Headings (MeSH) of the MEDLINE database. Focusing on three main branches-"diseases," "drugs and chemicals," and "techniques and equipment"-we use base maps and overlay techniques to investigate the translations and interactions and thus to gain a bibliometric perspective on the dynamics of medical innovations. To this end, we first analyze the MEDLINE database, the MeSH index tree, and the various options for a static mapping from different perspectives and at different levels of aggregation. Following a specific innovation (RNA interference) over time, the notion of a trajectory which leaves a signature in the database is elaborated. Can the detailed index terms describing the dynamics of research be used to predict the diffusion dynamics of research results? Possibilities are specified for further integration between the MEDLINE database on one hand, and the Science Citation Index and Scopus (containing citation information) on the other. © 2012 ASIS&T
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