1,720,958 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

    Impact of Covid-19 on Migration in Bangladesh

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    This research briefing summarises priority areas for future research and key stakeholders with whom to engage, as identified in the scoping paper "Impact of Covid-19 on Migration in Bangladesh" by Rakib Hossain, Afsana Binte Khaleque and Sakib Mahmood from the BRAC Institute of Governance and Development (BIGD). The scoping paper and this briefing were commissioned for the Covid-19 Learning, Evidence and Research Programme in Bangladesh (CLEAR). CLEAR aims to build a consortium of research partners to deliver policy-relevant research and evidence for Bangladesh to support the Covid-19 response and inform preparation for future shocks

    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 GENETIC VARIABILITY AND CHARACTER ASSOCIATION IN F 2 SEGREGATING POPULATION OF TOMATO (Solanum lycopersicum L.)

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    A Thesis Submitted to faculty of Agriculture Sher-e-Bangla Agricultural University, Dhaka In partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN GENETICS AND PLANT BREEDINGAn experiment was conducted at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, during the period from September 2021 to February 2022 using twenty-eight genotypes of tomatoes (Solanum lycopersicum L.) to analyze the genetic variability and character association in F population of tomato in a randomized complete block design with three replications. The analysis of variance revealed significant differences for various traits among the genotypes. For all of the characters, phenotypic variance was greater than the genotypic variance. The GCV values were lower than that of PCV values, indicating that the environment had an important role on the expression genes controlling these characters. The number of cluster per plant (35.033), number of fruits per cluster (47.347), number of fruits per plant (81.5), fruit diameter (41.008), single fruit weight (66.156), total soluble solid (53.131) and yield per plant (41.691) all had high genotypic co-efficient of variation (GCV). It indicated that selection may be effective based on these characters. High heritability with high genetic advance in percent of mean was observed in number of fruits per cluster (73.667 and 83.714 respectively), number of fruits per plant (85.669 and 89.897 respectively), fruit diameter (93.326 and 81.609 respectively), single fruit weight (96.603 and 79.649 respectively) and total soluble solid (72.553 and 93.227 respectively) indicating the most suitable condition for selection. It also indicates the presence of additive genes in these traits and reliable crop improvement through selection of such traits is possible. High heritability with low genetic advance in percent of mean was observed in plant height (87.719 and 30.99 respectively), days to 1 2 st fruiting (81.845 and 26.508 respectively), fruit length (88.531and 57.068 respectively) and shelf life (81.168 and 44.243, respectively) suggesting nonadditive gene action for the expressions of these characters. The result revealed a highly significant positive correlation with days to 1 st fruiting (rg = 0.224, rp = 0.227), number of branches per plant (rg = 0.422, rp = 0.498), number of cluster per plant (rg = 0.231,rp = 0.244), number of flowers per plant (rg = 0.242,rp = 0.366), number of fruits per plant (rg = 0.418,rp = 0.447), fruit diameter (rg = 0.553,rp = 0.367), single fruit weight (rg = 0.734,rp = 0.524) and total soluble solid (rg = 0.332,rp = 0.266) indicating that a possible increase in these traits tends to increase in fruit yield per plant. In path analysis data on various parameters viz. plant height (0.183), days to 1 st flowering (0.764), days to maturity (0.305), number of cluster per plant (0.892), number of flowers per cluster (0.684), number of fruits per cluster (0.936), fruit length (0.753), fruit diameter (0.575), single fruit weight (0.75) and total soluble solid (0.178) had revealed positive direct effect on yield. Among these, number of cluster per plant, number of fruits per cluster, number of fruits per plant, fruit diameter, single fruit weight and total soluble solid had also significant positive correlation with yield per plant at genotypic level, indicating direct selection may be executed considering these traits as the main selection criteria to reduce indirect effect of the other characters during the development of high yielding tomato variety. Therefore, considering the agronomic and genetic performance the G genotype for high yield, and G 9 ×G genotype for short durated ripen fruits might be suggested for further selection in next generation
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