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    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    ADAPTING A PERSONALIZED NORMATIVE FEEDBACK INTERVENTION FOR GRADUATE STUDENT DRINKERS

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    On average, graduate students consume eight drinks per week, meeting criteria for heavy drinking and highlighting the need for a cost-effective intervention. The current study examined the efficacy of personalized normative feedback (PNF) for reducing heavy drinking in graduate students. Study 1 examined the feasibility and acceptability of the intervention content to inform a randomized controlled trial (RCT) of the intervention. Results from qualitative interviews with 13 graduate students who interacted with the intervention content preferred to receive feedback about peers enrolled in the same type of degree program. Study 2 was an RCT using PNF from peers with the same gender and type of degree program to examine (1) the efficacy of the PNF intervention, (2) whether descriptive norms at follow-up mediated the effect of intervention condition on drinks per week and alcohol-related consequences, and (3) whether gender and baseline drinking moderated intervention efficacy. Eligible participants completed baseline drinking measures, were randomly assigned to the PNF feedback group or the control group and completed follow-up measures one month after baseline. We used negative binomial regressions to evaluate the aims of Study 2, and found that there was no significant reduction in drinks per week or alcohol-related consequences for participants in the intervention versus control condition. There were no significant mediation or moderation effects. Future studies should explore how to make normative data more salient and enhance cognitive dissonance during the intervention

    Differences In Drinking Patterns In Graduate Students Based On Degree Type

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    Graduate school is accompanied by high levels of stress, as students are faced with various responsibilities (El-Ghoroury et al., 2012; Offstein et al., 2004). However, many graduate students have barriers to mental health services, resulting in the use of maladaptive coping mechanisms, specifically alcohol use (Ayala et al., 2017). Related, professional doctoral students (e.g., MD, OD, JD) tend to engage in problematic drinking, with a range of 33-50% drinking heavily (Organ et al., 2016; Waring et al., 1984). There is limited research examining the drinking patterns of students enrolled in different types of programs. We aimed to examine differences in drinking patterns among various degree types. Participants were 227 graduate students (55% female, 72% Caucasian, 38% Latino) with a mean age of 26 (SD = 3). Recruitment was conducted through social media outlets and participants completed a one-time online assessment. Students were divided into three groups: masters (N = 92), academic doctoral (N = 113), and professional doctoral (N = 72). Two negative binomial regressions were used to examine differences in drinks per week and alcohol-related consequences. Based on Tukey’s post-hoc analyses, There were significant differences between Masters (M = 6.20) and Academic Doctoral (M = 11.92) students, and Masters (M = 6.20) and Professional Doctorate (M = 9.44) students in their drinks per week. In addition, there were significant differences between Masters (M = 6.10) and Professional Doctoral (M = 8.93) students. A generalized linear model was used to explore AUDIT score (hazardous drinking) differences. There were significant differences between Masters (M = 10.47) and Academic Professional (M = 13.52) students, and Masters (M = 10.47) and Professional Doctoral (M = 14.81) students. These results may inform future interventions for this population, suggesting a need to modify content for the different types of students
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