53,940 research outputs found
On the relationship between interdisciplinarity and scientific impact
This paper analyzes the effect of interdisciplinarity on the scientific
impact of individual papers. Using all the papers published in Web of Science
in 2000, we define the degree of interdisciplinarity of a given paper as the
percentage of its cited references made to journals of other disciplines. We
show that, although for all disciplines combined there is no clear correlation
between the level of interdisciplinarity of papers and their citation rates,
there are nonetheless some disciplines in which a higher level of
interdisciplinarity is related to a higher citation rates. For other
disciplines, citations decline as interdisciplinarity grows. One characteristic
is visible in all disciplines: highly disciplinary and highly interdisciplinary
papers have a low scientific impact. This suggests that there might be an
optimum of interdisciplinarity beyond which the research is too dispersed to
find its niche and under which it is too mainstream to have high impact.
Finally, the relationship between interdisciplinarity and scientific impact is
highly determined by the citation characteristics of the disciplines involved:
papers citing citation intensive disciplines are more likely to be cited by
those disciplines and, hence, obtain higher citation scores than papers citing
non citation intensive disciplines.Comment: 10 pages, 3 figures, 1 table. Forthcoming in JASIS
Developing Human Functioning and Rehabilitation Research from the comprehensive perspective.
With the International Classification of Functioning, Disability and Health (ICF) the World Health Organization (WHO) has prepared the ground for a comprehensive understanding of Human Functioning and Rehabilitation Research, integrating the biomedical perspective on impairment with the social model of disability. This poses a number of old and new challenges regarding the enhancement of adequate research capacity. Here we will summarize approaches to address these challenges with respect to 3 areas: the organization of Human Functioning and Rehabilitation Research into distinct scientific fields, the development of suitable academic training programmes and the building of university centres and collaboration networks
Exploring the relationship between the Engineering and Physical Sciences and the Health and Life Sciences by advanced bibliometric methods
We investigate the extent to which advances in the health and life sciences
(HLS) are dependent on research in the engineering and physical sciences (EPS),
particularly physics, chemistry, mathematics, and engineering. The analysis
combines two different bibliometric approaches. The first approach to analyze
the 'EPS-HLS interface' is based on term map visualizations of HLS research
fields. We consider 16 clinical fields and five life science fields. On the
basis of expert judgment, EPS research in these fields is studied by
identifying EPS-related terms in the term maps. In the second approach, a
large-scale citation-based network analysis is applied to publications from all
fields of science. We work with about 22,000 clusters of publications, each
representing a topic in the scientific literature. Citation relations are used
to identify topics at the EPS-HLS interface. The two approaches complement each
other. The advantages of working with textual data compensate for the
limitations of working with citation relations and the other way around. An
important advantage of working with textual data is in the in-depth qualitative
insights it provides. Working with citation relations, on the other hand,
yields many relevant quantitative statistics. We find that EPS research
contributes to HLS developments mainly in the following five ways: new
materials and their properties; chemical methods for analysis and molecular
synthesis; imaging of parts of the body as well as of biomaterial surfaces;
medical engineering mainly related to imaging, radiation therapy, signal
processing technology, and other medical instrumentation; mathematical and
statistical methods for data analysis. In our analysis, about 10% of all EPS
and HLS publications are classified as being at the EPS-HLS interface. This
percentage has remained more or less constant during the past decade
The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles
Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigateOAin three populations: (1) all journal articles assigned a Crossref DOI, (2) recent journal articles indexed in Web of Science, and (3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made freeto- read on the publisher website, without an explicit Open license. We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA.Weencourage further research using the free oaDOI service, as a way to inform OA policy and practice
Just how difficult can it be counting up R&D funding for emerging technologies (and is tech mining with proxy measures going to be any better?)
Decision makers considering policy or strategy related to the development of emerging technologies expect high quality data on the support for different technological options. A natural starting point would be R&D funding statistics. This paper explores the limitations of such aggregated data in relation to the substance and quantification of funding for emerging technologies.
Using biotechnology as an illustrative case, we test the utility of a novel taxonomy to demonstrate the endemic weaknesses in the availability and quality of data from public and private sources. Using the same taxonomy, we consider the extent to which tech-mining presents an alternative, or potentially complementary, way to determine support for emerging technologies using proxy measures such as patents and scientific publications
F1000 recommendations as a new data source for research evaluation: A comparison with citations
F1000 is a post-publication peer review service for biological and medical
research. F1000 aims to recommend important publications in the biomedical
literature, and from this perspective F1000 could be an interesting tool for
research evaluation. By linking the complete database of F1000 recommendations
to the Web of Science bibliographic database, we are able to make a
comprehensive comparison between F1000 recommendations and citations. We find
that about 2% of the publications in the biomedical literature receive at least
one F1000 recommendation. Recommended publications on average receive 1.30
recommendations, and over 90% of the recommendations are given within half a
year after a publication has appeared. There turns out to be a clear
correlation between F1000 recommendations and citations. However, the
correlation is relatively weak, at least weaker than the correlation between
journal impact and citations. More research is needed to identify the main
reasons for differences between recommendations and citations in assessing the
impact of publications
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