1,720,954 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

    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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    Exploring the interactive and linguistic dimensions of parent input and their role in the development of children's simple sentences.

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    Research investigating how parent input influences child language outcomes has typically analyzed input from the perspective of only one dimension at a time. Rowe and Snow (2020) proposed an alternative framework for analyzing input from a multi-dimensional perspective, integrating the interactive, linguistic, and conceptual dimensions to better identify high-quality input for a defined developmental period. The purpose of this study was to identify how different features from the interactive and linguistic dimensions intersect in parent input at 21 months, and how those intersections relate to the production of diverse, childlike simple sentences at 30 months. Optimal input was defined as responsive and contextualized simple active declarative sentences. Twenty naturalistic parent-child observations at 21 months were coded for their linguistic and interactive features in parent input. In addition, child sentence diversity was calculated at 30 months. Results indicated that at 21 months, optimal input was rare, while responsive parent input that was not linguistically ideal, and parent input that was neither responsive nor linguistically ideal were relatively common. Partial correlations, controlling for the total number of parent utterances, were used to examine relations between parent input and child sentence diversity. Optimal input was not related to child sentence diversity at 30 months; however, parent input that was neither responsive nor declarative was negatively correlated with child sentence diversity. Future clinical research should continue to explore parent input from a multi-dimensional perspective to determine what is optimal or less helpful for clearly defined developmental periods.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2020-10-02 without embargo termsThe student, Tracy Preza, accepted the attached license on 2020-07-01 at 20:44.The student, Tracy Preza, submitted this Thesis for approval on 2020-07-01 at 20:58.This Thesis was approved for publication on 2020-07-08 at 15:08.DSpace SAF Submission Ingestion Package generated from Vireo submission #15488 on 2020-10-02 at 15:10:53Made available in DSpace on 2020-10-07T20:59:29Z (GMT). No. of bitstreams: 2 PREZA-THESIS-2020.pdf: 1028950 bytes, checksum: 72fb1e5e2f82e5e542aa6fe59ddd1665 (MD5) LICENSE.txt: 4208 bytes, checksum: 2ce2e7d70dce8deff25b2ad32a87bb20 (MD5) Previous issue date: 2020-07-0

    Investigating early syntactic knowledge in late-talking toddlers

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    This study examined how language measures motivated by two competing theories of language endowment classified late talkers with transient delays from those at elevated risk for developmental language disorder (DLD). The weak language endowment hypothesis predicts general and specific measures will be normally distributed and significantly differ across three groups: late talkers with continued early language delays (ELD), those with a prior history of early language delay (HELD) and typical toddlers (TD). The language maturation delay hypothesis predicts measures linked to maturation will be bimodally distributed, with the ELD group forming one group, but the HELD and TD group forming another group. Language transcripts from a structural priming task were analyzed for one general measure: the Index of Productive Syntax-C (pIPSyn-C) and two specific measures: primed unaccusative verb diversity and primed subject diversity with unaccusative verbs (e.g., leaf fall) in the ELD (n =21), HELD (n = 23), and TD (n =60) groups. One-way ANCOVAs revealed that the ELD group performed significantly worse that the HELD and TD groups, who were indistinguishable from one another on all measures. ROC curve analyses demonstrated the pIPSyn-C had the best classification accuracy for separating the ELD group from the HELD and TD groups. In contrast, unaccusative verb and subject diversity measures had only fair classification accuracy between the groups. Future work should continue to investigate early syntactic knowledge of late-talking children to inform both theoretical hypotheses of language knowledge, and to improve the prediction of persistent DLD in childhood.R01DC01627

    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
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