1,721,033 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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    Developing a novel approach for improving supply chain management for SARS-CoV-2 point-of-care diagnostic services in resource-limited settings : a case study of Mopani district Municipality in Limpopo Province, South Africa

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    Thesis (PhD (Public Health))--University of Pretoria, 2023.Introduction: In settings with limited access to laboratory diagnostic services, point-of-care (POC) testing offers a suitable alternative for diagnosing COVID-19. We conducted a scoping review to guide the objectives of this study. The scoping review highlighted the importance of equitable access to diagnostic tests at POC through well-coordinated supply chain management (SCM) systems, particularly for settings with limited access to diagnostic laboratory services. It also revealed a research gap on SCM of POC diagnostic services in low- and middle-income countries (LMICs). Guided by the scoping review results, the overarching aim of this thesis is to contribute knowledge to inform development of a novel approach for improving SCM for COVID-19 POC diagnostic services in resource-limited settings with poor access to laboratory diagnostic services, using Mopani District in Limpopo Province, South Africa, as a study setting. Methods: This multiphase mixed methods study consisted of four phases, starting with the scoping review that guided the thesis objectives. Phase 2 involved a geospatial analysis to assess the spatial distribution of COVID-19 POC testing services in the Mopani District. Phase 3 involved an audit of primary healthcare (PHC) clinics providing COVID-19 POC diagnostic services to evaluate the impact of SCM on accessibility and identify barriers and enablers. Based on the findings from the initial phases, Phase 4 employed a nominal group technique (NGT) to collaborate with key stakeholders in co-creating a novel approach for improving SCM systems for COVID-19 POC diagnostic services. Finally, we synthesised results from the above phases to inform development of an evidence-informed context specific framework for improving POC diagnostics services SCM. Results: The geospatial analysis indicated that the majority of the population (78.2%) had adequate accessibility to COVID-19 diagnostic services, assuming they utilized the nearest healthcare facility. However, an uneven distribution of services within the region was identified. The audit revealed non-compliance with SCM practices in PHC clinics in the Mopani District, particularly in inventory management, distribution, and human resource capacity. However, compliance was observed in procurement, redistribution, and quality assurance. Through collaboration with key stakeholders we were able to identify key priority areas that needed to be addressed ix to improve SCM systems for POC diagnostic services in the Mopani District. The following areas were identified to be a priority: availability of testing kits, monitoring of stock levels, unknown demand, information on SCM during a pandemic, demand planning and standardisation of procurement policies. Informed by the above results, we proposed an intersectoral POC diagnostics SCM framework for resource-limited settings. Conclusion: This thesis has successfully guided the development of a novel approach to improving SCM of SARS-CoV-2 POC diagnostic services in resource-limited settings, using Mopani District in Limpopo Province, South Africa, as a study setting. This thesis offers guidance on achieving increased accessibility, responsiveness, optimal inventory management, quality assurance, standardization, and data-driven decision-making. These advantages can contribute to more effective healthcare delivery, improved patient outcomes, and enhanced management of public health. Additionally, this thesis proposes implementing an intersectoral framework for improvement of SCM for POC diagnostics in resource-limited settings. The findings of this thesis have significant implications for policymakers and implementers involved in POC diagnostics in resource-constrained settings. Further research is necessary to determine the feasibility of implementing the intersectoral framework for improving SCM for POC diagnostics in resource-limited settings.National Research Foundation (NRF)Ninety-One SA (Pty) LtdSchool of Health Systems and Public Health (SHSPH)PhD (Public Health)Unrestricte

    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

    Estimating the slope in the simple linear errors-in-variables model

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    M.Sc.In this study we consider the problem ofestiniating the slope in the simple linear errors-in-variables model. There are two different types of relationship that can he specified in the errors-in-variables model: one that specifies a functional linear relationship and one describing a structural linear relationship. The different relationship specifications can lead to different estimators with different properties. These two specifications are highlighted in this study. A least squares solution (to the estimation of the slope) is given. The problem of finding the maximum likelihood solution to these two specifications is addressed. It is noted that an unidentifiability problem arises in this attempt. The solution is seen to lie in making assumptions on the error variances. Interval estimation for the slope parameter is discussed. It is noted that any interval estimator of the slope whose length is always finite will have a confidence coefficient of zero. Various interval estimation methods are reviewed but emphasis is mainly on the investigation of a bootstrap procedure for estimating the confidence interval for the slope parameter β. More specifically, the Linder and Babu (1994) (bootstrap) method for the structural relationship model with known variance ratio is investigated here. The error distributions were assumed normal. A simulation study based on this paper is carried out. The results in the simulation study show that this bootstrap procedure performs well in comparison with the normal theory estimates for normally distributed data, that is, it has better coverage accuracy than the normal approximation
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