13 research outputs found
Bibliometric Perspectives on Medical Innovation using the Medical Subject Headings (MeSH) of PubMed
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 the one
hand, and the Science Citation Index and Scopus (containing citation
information), on the other.Comment: forthcoming in the Journal of the American Society for Information
Science and Technolog
Statistics for the Dynamic Analysis of Scientometric Data: The evolution of the sciences in terms of trajectories and regimes
The gap in statistics between multi-variate and time-series analysis can be
bridged by using entropy statistics and recent developments in
multi-dimensional scaling. For explaining the evolution of the sciences as
non-linear dynamics, the configurations among variables can be important in
addition to the statistics of individual variables and trend lines. Animations
enable us to combine multiple perspectives (based on configurations of
variables) and to visualize path-dependencies in terms of trajectories and
regimes. Path-dependent transitions and systems formation can be tested using
entropy statistics.Comment: Scientometrics, in press (Nov. 2012
Citation Analysis with Medical Subject Headings (MeSH) using the Web of Knowledge: A new routine
Citation analysis of documents retrieved from the Medline database (at the
Web of Knowledge) has been possible only on a case-by-case basis. A technique
is here developed for citation analysis in batch mode using both Medical
Subject Headings (MeSH) at the Web of Knowledge and the Science Citation Index
at the Web of Science. This freeware routine is applied to the case of "Brugada
Syndrome," a specific disease and field of research (since 1992). The journals
containing these publications, for example, are attributed to Web-of-Science
Categories other than "Cardiac and Cardiovascular Systems"), perhaps because of
the possibility of genetic testing for this syndrome in the clinic. With this
routine, all the instruments available for citation analysis can now be used on
the basis of MeSH terms. Other options for crossing between Medline, WoS, and
Scopus are also reviewed.Comment: Journal of the American Society for Information Science and
Technology (2012, in press
Innovation as a Nonlinear Process, the Scientometric Perspective, and the Specification of an "Innovation Opportunities Explorer"
The process of innovation follows non-linear patterns across the domains of
science, technology, and the economy. Novel bibliometric mapping techniques can
be used to investigate and represent distinctive, but complementary
perspectives on the innovation process (e.g., "demand" and "supply") as well as
the interactions among these perspectives. The perspectives can be represented
as "continents" of data related to varying extents over time. For example, the
different branches of Medical Subject Headings (MeSH) in the Medline database
provide sources of such perspectives (e.g., "Diseases" versus "Drugs and
Chemicals"). The multiple-perspective approach enables us to reconstruct facets
of the dynamics of innovation, in terms of selection mechanisms shaping
localizable trajectories and/or resulting in more globalized regimes. By
expanding the data with patents and scholarly publications, we demonstrate the
use of this multi-perspective approach in the case of RNA Interference (RNAi).
The possibility to develop an "Innovation Opportunities Explorer" is specified.Comment: Technology Analysis and Strategic Management (forthcoming in 2013
Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence
I present a framework based on the concepts of diversity and coherence for
the analysis of knowledge integration and diffusion. Visualisations that help
understand insights gained are also introduced. The key novelty offered by this
framework compared to previous approaches is the inclusion of cognitive
distance (or proximity) between the categories that characterise the body of
knowledge under study. I briefly discuss the different methods to map the
cognitive dimension
Knowledge integration and diffusion: Measures and mapping of diversity and coherence
Ying Ding, Ronald Rousseau, Wolfram Dietmar (Editors).In this chapter, I present a framework based on the concepts of diversity and coherence for the analysis of knowledge integration and diffusion. Visualisations that help to understand insights gained are also introduced. The key novelty offered by this framework compared to previous approaches is the inclusion of cognitive distance (or proximity) between the categories that characterise the body of knowledge under study. I briefly discuss different methods to map the cognitive dimension.I acknowledge support from the UK ESRC grant RES-360-25-0076 (>Mapping the dynamics of emergent technologies>) and the US National Science Foundation (Award#1064146->Revealing Innovation Pathways: Hybrid Science Maps for 16 Technology Assessment and Foresight>).Peer Reviewe
Mapping citation patterns of book chapters in the Book Citation Index
Complementary Material to this study can be found at http://hdl.handle.net/10481/22587.In this paper we provide the reader with a visual representation of relationships among the impact of book chapters indexed in the Book Citation Index using information gain values and published by different academic publishers in specific disciplines. The impact of book chapters can be characterized statistically by citations histograms. For instance, we can compute the probability of occurrence of book chapters with a number of citations in different intervals for each academic publisher. We predict the similarity between two citation histograms based on the amount of relative information between such characterizations. We observe that the citation patterns of book chapters follow a Lotkaian distribution. This paper describes the structure of the Book Citation Index using ‘heliocentric clockwise maps’ which allow the reader not only to determine the grade of similarity of a given academic publisher indexed in the Book Citation Index with a specific discipline according to their citation distribution, but also to easily observe the general structure of a discipline, identifying the publishers with higher impact and output.This research was
sponsored by the Spanish Board for Science and Technology (MICINN) under grant TIN2010-
15157 co financed with European FEDER funds
Bibliometric perspectives on medical innovation using the medical subject headings of PubMed
arXiv:1203.1006Multiple 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.We acknowledge support by the ESRC project “Mapping the Dynamics of Emergent Technologies” (RES-360-25-0076). Ismael Rafols acknowledges funding from U.S. National Science Foundation (Award 0830207, “Measuring and Tracking Research Knowledge Integration”).Peer Reviewe