91 research outputs found
Journal Maps, Interactive Overlays, and the Measurement of Interdisciplinarity on the Basis of Scopus Data (1996-2012)
Using Scopus data, we construct a global map of science based on aggregated
journal-journal citations from 1996-2012 (N of journals = 20,554). This base
map enables users to overlay downloads from Scopus interactively. Using a
single year (e.g., 2012), results can be compared with mappings based on the
Journal Citation Reports at the Web-of-Science (N = 10,936). The Scopus maps
are more detailed at both the local and global levels because of their greater
coverage, including, for example, the arts and humanities. The base maps can be
interactively overlaid with journal distributions in sets downloaded from
Scopus, for example, for the purpose of portfolio analysis. Rao-Stirling
diversity can be used as a measure of interdisciplinarity in the sets under
study. Maps at the global and the local level, however, can be very different
because of the different levels of aggregation involved. Two journals, for
example, can both belong to the humanities in the global map, but participate
in different specialty structures locally. The base map and interactive tools
are available online (with instructions) at
http://www.leydesdorff.net/scopus_ovl.Comment: accepted for publication in the Journal of the Association for
Information Science and Technology (JASIST
Visualization and analysis of SCImago Journal & Country Rank structure via journal clustering
Purpose: The purpose of this paper is to visualize the structure of SCImago Journal & Country Rank (SJR) coverage of the extensive citation network of Scopus journals, examining this bibliometric portal through an alternative approach, applying clustering and visualization techniques to a combination of citation-based links.
Design/methodology/approach:Three SJR journal-journal networks containing direct citation, co-citation and bibliographic coupling links are built. The three networks were then combined into a new one by summing up their values, which were later normalized through geo-normalization measure. Finally, the VOS clustering algorithm was executed and the journal clusters obtained were labeled using original SJR category tags and significant words from journal titles.
Findings: The resultant scientogram displays the SJR structure through a set of communities equivalent to SJR categories that represent the subject contents of the journals they cover. A higher level of aggregation by areas provides a broad view of the SJR structure, facilitating its analysis and visualization at the same time.
Originality/value: This is the first study using Persson’s combination of most popular citation-based links (direct citation, co-citation and bibliographic coupling) in order to develop a scientogram based on Scopus journals from SJR. The integration of the three measures along with performance of the VOS community detection algorithm gave a balanced set of clusters. The resulting scientogram is useful for assessing and validating previous classifications as well as for information retrieval and domain analysis.Peer reviewe
Mapping Patent Classifications: Portfolio and Statistical Analysis, and the Comparison of Strengths and Weaknesses
The Cooperative Patent Classifications (CPC) jointly developed by the
European and US Patent Offices provide a new basis for mapping and portfolio
analysis. This update provides an occasion for rethinking the parameter
choices. The new maps are significantly different from previous ones, although
this may not always be obvious on visual inspection. Since these maps are
statistical constructs based on index terms, their quality--as different from
utility--can only be controlled discursively. We provide nested maps online and
a routine for portfolio overlays and further statistical analysis. We add a new
tool for "difference maps" which is illustrated by comparing the portfolios of
patents granted to Novartis and MSD in 2016.Comment: Scientometrics 112(3) (2017) 1573-1591;
http://link.springer.com/article/10.1007/s11192-017-2449-
Journal portfolio analysis for countries, cities, and organizations: maps and comparisons
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
Profiling research of the engineering academics who successfully promote education in Sustainable Human Development
Over the last decades, engineering faculties and universities have become increasingly engaged in integrating sustainable development into their different functions. Notwithstanding, more effort is required to effectively integrate sustainability principles as a whole-university approach, and specifically, in technical universities. Scientific literature highlights the main barriers to the success of initiatives that address this shortcoming. A better understanding of the scientific profile of the academics who engage in sustainable development activities can help to develop and promote initiatives for increasing faculty engagement in all academic functions. For this purpose, this study presents a bibliometric analysis of the scientific production of an academic community involved in a European initiative aimed at capacitating engineering academics for sustainable development. Specifically, two groups of academics with different degrees of expertise and involvement in sustainable development were characterized and compared, revealing common trends and similarities of their research production. The results have different implications for future strategies aimed at engaging specific academic profiles in the field of engineering, highlighting especially health science–related fields linked with engineering as a potential opportunity of promoting the integration of sustainable development in engineering education. Further analysis is required to determine the university rankings and their potential implications for the integration of sustainable development, as well as appropriate policies and mechanisms of faculty rewarding and promotion.Peer ReviewedPostprint (published version
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
Scientometric mapping as a strategic intelligence tool for the governance of emerging technologies
How can scientometric mapping function as a tool of ’strategic intelligence’ to aid the governance of emerging technologies? The present paper aims to address this question by focusing on a set of recently developed scientometric techniques, namely overlay mapping. We examine the potential these techniques have to inform, in a timely manner, analysts and decision-makers about relevant dynamics of technical emergence. We investigate the capability of overlay mapping in generating informed perspectives about emergence across three spaces: geographical, social, and cognitive. Our analysis relies on three empirical studies of emerging technologies in the biomedical domain: RNA interference (RNAi), Human Papilloma Virus (HPV) testing technologies for cervical cancer, and Thiopurine Methyltransferase (TPMT) genetic testing. The case-studies are analysed and mapped longitudinally by using publication and patent data. Results show the variety of ’intelligence’ inputs overlay mapping can produce for the governance of emerging technologies. Overlay mapping also confers to the investigation of emergence flexibility and granularity in terms of adaptability to different sources of data and selection of the levels of the analysis, respectively. These features make possible the integration and comparison of results from different contexts and cases, thus providing possibilities for a potentially more ’distributed’ strategic intelligence.
The generated perspectives allow triangulation of findings, which is important given the complexity featuring in technical emergence and the limitations associated with the use of single scientometric approaches
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
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