186,580 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Structural optimization as a constitutive design tool in architecture

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    p. 1187-1193The melting of arts and sciences, of the liberty of design and the discipline of technologies in architecture is one major subject in architecture teachings when it comes to the role of the structure in architecture. Whilst more and more sophisticated analysis tools are developed, the connection between design and analysis is often missing, and the tools hardly find their way into architectural teaching. This paper describes the application of a commercial software commonly used for the optimization of components in the car and aircraft industries into the design courses of the Biberach University of Applied Sciences.Lochner Aldinger, I. (2010). Structural optimization as a constitutive design tool in architecture. Editorial Universitat Politècnica de València. https://riunet.upv.es/handle/10251/706

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Dr. Edward P. Wimberly, ITC, July 2011

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    This video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer

    Author Rights and Scholarly Publishing

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    Originally posted at http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p

    Data from range-wide study of migratory connectivity of Vermivora warblers

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    See ReadMe.txt for detailed description of files.This collection of files provide data from a range-wide study of the migratory ecology of Vermivora warblers. Data include raw light-level data from geolocators, R code, and associated output. These data can be used to recreate analyses including: (1) Individual nonbreeding occurrence and population-level nonbreeding overlap (2) Individual migration routes and spatial distribution of individuals and populations during migrationU.S. Fish and Wildlife ServiceU.S Geological SurveyMinnesota Cooperative Fish and Wildlife Research UnitNational Science FoundationVirginia Department of Game and Inland FisheriesGrace Jones Richardson TrustKramer, Gunnar R; Andersen, David E; Buehler, David A.; Wood, Petra B; Peterson, Sean M; Lehman, Justin A; Aldinger, Kyle R; Bulluck, Lesley P; Harding, Sergio; Jones, John A; Loegering, John P; Smalling, Curtis; Vallender, Rachel; Streby, Henry M. (2018). Data from range-wide study of migratory connectivity of Vermivora warblers. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6D97W

    Data and code supporting: Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends

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    Code, data, and spatial layers. See readme file for description of files.Data and code supporting the publication "Exposure to risk-factors experienced during migration is not associated with recent Vermivora warbler population trends".Funding for this research was provided by the U.S. Fish and Wildlife Service and the U.S. Geological Survey through Research Work Order 98 at the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit, and by the National Science Foundation through Postdoctoral Research Fellowship 1202729. Additional funding was provided by the University of Toledo College of Graduate Studies through a Graduate Dean’s Fellowship, the Virginia Department of Wildlife Resources and the Grace Jones Richardson Trust.Kramer, Gunnar R; Andersen, David E; Buehler, David A; Wood, Petra B; Peterson, Sean M; Lehman, Justin A; Aldinger, Kyle R; Bulluck, Lesley P; Harding, Sergio; Jones, John A; Loegering, John P; Smalling, Curtis; Vallender, Rachel; Streby, Henry M. (2023). Data and code supporting: Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/1dap-6d14
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