1,720,995 research outputs found

    Correlation between complication rate and perioperative risk-factors in superior pedicle reduction mammaplasty: our experience in 127 patients

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    Reduction mammaplasty, one of the most common plastic surgery procedures, has been shown to confer significant sustained health benefits for patients with symptomatic breast enlargement (26,29) providing a remedy for back, neck, and shoulder pain. Unfortunately, operations of breast reduction may lead to patient dissatisfaction for poor aesthetic outcome due to complications. Complications, including infection, hematoma, seroma, dehiscence, fat necrosis, and skin loss, may occur in as many as 50% of patients (8). Unacceptable scarring has also been reported (5). Complication data revealed several significant features, although there isn't much objective evidence to support that (6,10, 18, 20, 30, 33). Over the period 2004-2008,127 consecutive patients were admitted for breast reduction surgery, data have been analyzed retrospectively to determine whether any correlation could be found between complication rate and perioperative risk-factors using a multifactorial ANOVA F-test. Analysis of variables associated with complications showed that, after adjusting for age and smoking status, only BMI was associated with any complication (p<0.05). By power analysis, based on a comparison of three proportions, a power of 92% with a significance level of 0.05 was found for the hypothesis that the outcomes of the procedures depends on BMI

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    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

    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

    Author Index

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