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      Does Interdisciplinary Research Lead to Higher Citation Impact? The Different Effect of Proximal and Distal Interdisciplinarity

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      1 , 2 , 3 , 4 , * , 2
      PLoS ONE
      Public Library of Science

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          Abstract

          This article analyses the effect of degree of interdisciplinarity on the citation impact of individual publications for four different scientific fields. We operationalise interdisciplinarity as disciplinary diversity in the references of a publication, and rather than treating interdisciplinarity as a monodimensional property, we investigate the separate effect of different aspects of diversity on citation impact: i.e. variety, balance and disparity. We use a Tobit regression model to examine the effect of these properties of interdisciplinarity on citation impact, controlling for a range of variables associated with the characteristics of publications. We find that variety has a positive effect on impact, whereas balance and disparity have a negative effect. Our results further qualify the separate effect of these three aspects of diversity by pointing out that all three dimensions of interdisciplinarity display a curvilinear (inverted U-shape) relationship with citation impact. These findings can be interpreted in two different ways. On the one hand, they are consistent with the view that, while combining multiple fields has a positive effect in knowledge creation, successful research is better achieved through research efforts that draw on a relatively proximal range of fields, as distal interdisciplinary research might be too risky and more likely to fail. On the other hand, these results may be interpreted as suggesting that scientific audiences are reluctant to cite heterodox papers that mix highly disparate bodies of knowledge—thus giving less credit to publications that are too groundbreaking or challenging.

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          Most cited references7

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          Science's new social contract with society.

          Under the prevailing contract between science and society, science has been expected to produce 'reliable' knowledge, provided merely that it communicates its discoveries to society. A new contract must now ensure that scientific knowledge is 'socially robust', and that its production is seen by society to be both transparent and participative.
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            Evaluation of interdisciplinary and transdisciplinary research: a literature review.

            Interdisciplinarity has become a widespread mantra for research, accompanied by a growing body of publications. Evaluation, however, remains one of the least-understood aspects. This review of interdisciplinary and transdisciplinary research evaluation categorizes lessons from the emergent international literature on the topic reviewed in 2007. It defines parallels between research performance and evaluation, presents seven generic principles for evaluation, and reflects in the conclusion on changing connotations of the underlying concepts of discipline, peer, and measurement. Interdisciplinary and transdisciplinary research performance and evaluation are both generative processes of harvesting, capitalizing, and leveraging multiple expertise. Individual standards must be calibrated, and tensions among different disciplinary, professional, and interdisciplinary approaches carefully managed in balancing acts that require negotiation and compromise. Readiness levels are strengthened by antecedent conditions that are flexible enough to allow multiple pathways of integration and collaboration. In both cases, as well, new epistemic communities must be constructed and new cultures of evidence produced. The multidisciplinary-interdisciplinary-transdisciplinary research environment spans a wide range of contexts. Yet seven generic principles provide a coherent framework for thinking about evaluation: (1) variability of goals; (2) variability of criteria and indicators; (3) leveraging of integration; (4) interaction of social and cognitive factors in collaboration; (5) management, leadership, and coaching; (6) iteration in a comprehensive and transparent system; and (7) effectiveness and impact.
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              Citation analysis may severely underestimate the impact of clinical research as compared to basic research

              Background: Citation analysis has become an important tool for research performance assessment in the medical sciences. However, different areas of medical research may have considerably different citation practices, even within the same medical field. Because of this, it is unclear to what extent citation-based bibliometric indicators allow for valid comparisons between research units active in different areas of medical research. Methodology: A visualization methodology is introduced that reveals differences in citation practices between medical research areas. The methodology extracts terms from the titles and abstracts of a large collection of publications and uses these terms to visualize the structure of a medical field and to indicate how research areas within this field differ from each other in their average citation impact. Results: Visualizations are provided for 32 medical fields, defined based on journal subject categories in the Web of Science database. The analysis focuses on three fields. In each of these fields, there turn out to be large differences in citation practices between research areas. Low-impact research areas tend to focus on clinical intervention research, while high-impact research areas are often more oriented on basic and diagnostic research. Conclusions: Popular bibliometric indicators, such as the h-index and the impact factor, do not correct for differences in citation practices between medical fields. These indicators therefore cannot be used to make accurate between-field comparisons. More sophisticated bibliometric indicators do correct for field differences but still fail to take into account within-field heterogeneity in citation practices. As a consequence, the citation impact of clinical intervention research may be substantially underestimated in comparison with basic and diagnostic research.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 August 2015
                2015
                : 10
                : 8
                : e0135095
                Affiliations
                [1 ]Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands
                [2 ]Ingenio, (CSIC-UPV), Universitat Politècnica de València, València, Spain
                [3 ]SPRU—Science and Technology Policy Research, University of Sussex, Brighton, England
                [4 ]Observatoire des Sciences et des Téchniques (OST-HCERES), Paris, France
                Katholieke Universiteit Leuven, BELGIUM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: AYY IR PD. Performed the experiments: AYY IR PD. Analyzed the data: AYY IR PD. Contributed reagents/materials/analysis tools: AYY IR PD. Wrote the paper: AYY IR PD.

                Article
                PONE-D-15-15969
                10.1371/journal.pone.0135095
                4534379
                26266805
                70ac564c-1e59-47c9-b276-b9e26e725a93
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 13 April 2015
                : 16 July 2015
                Page count
                Figures: 2, Tables: 6, Pages: 21
                Funding
                Funding was provided by US National Science Foundation (Award #1064146 - "Revealing Innovation Pathways: Hybrid Science Maps for Technology Assessment and Foresight"), and EC Marie Curie Integration Grant.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper.

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