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    Risk factors of road crash: An empirical analysis among an Italian drivers sample

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    With the aim of increasing information about risk factors for crashes in the area of Parma, North Italy, a total of 1489 road accidents occurred in the year 2008 was analyzed. Logistic regression was used to evaluate the association between drivers, accidents characteristics and accident outcomes (killed, severely, and mildly injured). Age classes much involved in road crash were 26-25 and 36-35 years. Men were much frequently responsible for accident than women. The hourly distribution of crash for working days, Saturday and Sunday showed that the prevalence was higher during the late night hours (0-3 on Sunday and 20-23 on Saturday, respectively). The youngest age class was involved in a greater number of accidents especially on 0-3 time of day class. About half of road crashes was directly attributed to violations. High-speed, alcohol and drug abuse affected only a small portion of cases. The highest combined risk of dying or being severely injured was found in males, driving a motorcycle. These results will influence transport and local safeties measures and policies, which will change inappropriate behaviors of drivers and protect the least experienced road users

    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
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