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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

    Analysis of Region-Specific Transcriptomic Changes in the Autistic Brain

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    Autism is a highly prevalent neurodevelopmental disorder that affects 1 in every 68 children in the US. Autism comprises a spectrum of highly heterogeneous disorders defined by characteristic deficits of communication and by presence of repetitive and stereotyped behavior. At the same time the disease is highly heritable and genetically heterogeneous, with hundreds of genetic variants that have been associated with it. Previous systems biology studies have provided first insights into convergence of various disease-associated genetic variants onto specific pathways, developmental windows and cell types in the brain. Additionally, transcriptomic and epigenetic studies have identified genes and pathways affected by common molecular pathology in autism. However, previous studies lacked special resolution, have not investigated commonalities and differences in transcriptomic and epigenetic changes across specific brain regions in autism, have not linked epigenetic changes to transcriptional regulation in the disease and have not looked at other levels of transcriptional control rather than gene expression, such as alternative splicing and expression of long noncoding RNAs. In my dissertation I attempt to fill in these gaps by performing analysis of antisense RNA expression in the autistic brain and by performing RNA sequencing and DNA methylation analysis of 6 different cortical regions of autism patients and controls. I demonstrate that many autism-associated genomic loci express antisense noncoding RNAs, with some of them upregulated in the cortex of autism patients. I have also developed an automated user-friendly tool to perform RNA sequencing data analysis and applied it to a large cohort of RNA-seq samples to identify differentially expressed protein-coding genes and long noncoding RNAs, with many genes and pathways recurring in multiple regions and patient cohorts. Finally, I identify convergence of transcriptomic changes of the frontal cortical regions in autism on common genes and pathways and a divergent effect of the pathology on gene expression and alternative splicing in the prefrontal and frontoinsular cortices in autism. The results of the study prompt to investigate dysfuntion of the insular cortex in autism and provide high-confidence autism gene candidates for further functional studies.</p
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