186,164 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

    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    Withdrawn by Author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Withdrawn by Author 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

    Learning curve for robotic surgery in children: a systematic review of outcomes and fellowship programs

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    The learning curve (LC) of a new technique is fundamental for its application and assessment, and for the training. Literature was analysed to define the LCs of different surgical procedures and the impact of fellowship programs. MEDLINE, EMBASE and paediatric surgical journals’ databases from January 1995 to December 2018 were systematically analysed. Two independent residents sought for articles providing description of robotic-assisted procedures’ LCs in paediatric age/population. Seventeen articles were selected, describing LC of robotic-assisted pyeloplasty (n = 9), fundoplication (n = 4), cholecystectomy (n = 2), choledochal cyst resection (n = 1) and lingual tonsillectomy (n = 1), with 721 procedures. Ten studies refer to one single surgeon; six to more than one; one does not specify the number of operators. Eleven studies are unicentric retrospective, two multicentric retrospective, three prospective and one is a comparative analysis between a retrospective case series and a prospective cohort. The most recruited parameter is operative time alone in 3 articles, associated with complications in 12, length of hospital stay in 6, blood loss in 3, resolution in 4 and narcotic use in 2. The LC is described as impacting procedural planning (n = 17), training (n = 9) and economic costs (n = 2). To date, operative time is the most reported outcome to measure LC and proficiency. Efforts are needed to consider measures of surgical expertise and patient status. Robotic training should be standardized on targeted programs planned upon well-defined LCs

    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

    Mapping the Discipline of the Olympic Games An Author-Cocitation Analysis

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    The authors conducted an author cocitation analysis on prominent authors writing about the Olympics during the 1990s. Author cocitation is an established bibliometric technique that can be used to measure the relative similarities of topics written about by the cited authors. This enables a visual representation of the “intellectual space” of the discipline, in this case the Olympics, to be created for the period under review. So core and peripheral research areas are identified, along with their major contributors. The representation appears as a two-dimensional cluster-enhanced map. Subject expertise was then applied to the results to place labels on the generated clusters of authors and their topics

    author-bios-SRD-19-0063.R1 – Supplemental material for The Network Structure of Police Misconduct

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    Supplemental material, author-bios-SRD-19-0063.R1 for The Network Structure of Police Misconduct by George Wood, Daria Roithmayr and Andrew V. Papachristos in Socius</p
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