1,720,988 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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THYROSIM: A Web Application for Human Thyroid System Regulation Education and Research
Get PDFComputer simulation tools for education and research are making increasingly effective use of the internet. To facilitate these activities in neuroendocrinology, we implemented a sophisticated and well-validated simulator of the dynamics of human thyroid hormone and thyrotropin regulation as a web-based application. A major goal was to accommodate access to this tool from virtually anywhere, on modern handheld devices as well as desktop computers and laptops. Development was done using well-established open source software components that together provide a simple and intuitive user interface platform for doing simulated "what-if" experiments. User-selectable "experimental" test-input stimuli (oral, IV-pulse, IV-infusion inputs) are represented by animated graphical icons. Familiar graphs of simulated time-dependent T3, T4 and TSH dynamic responses are provided on the same interface. Various disease states, e.g. hypo- and hyperthyroidism and malabsorption, are simulated by optionally changing thyroid gland secretion rates and gut absorption rates. To facilitate comparative analysis, two sets of simulated experimental results can be superimposed on the same graph
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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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Simulator of Newborn Thyroid Hormone (TH) Dynamics for Optimizing Treatment of Congenital Hypothyroidism (CH)
Get PDFCongenital hypothyroidism (CH) is a condition of severe thyroid hormone (TH) deficiency present at birth. The current treatment is clear, and straightforward - a daily oral dose of thyroxine (T4). But, knowing precisely how much T4 to give and how to adjust dosages over time is an unsolved major treatment issue. Too much can produce side effects throughout life; too little is not enough to sustain normal growth and development. We developed and quantified a non-linear, multi-compartmental CH neonate model, as an adaptation of an existing simulator of feedback control of human TH levels in children and adults. Using a simulation approach, we found that simulated L-T4 plus L-T3 treatment is better than L-T4 alone treatment and the best treatment for CH babies is 1st 8 mcg/kg L-T4, followed by 0.5 mcg/kg/day L-T4, with 0.10 mcg/kg/day L-T3 over the first month of life - the period for which we had reliable data
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Algorithmic Parameter Space Reduction of a Systems Biology Model: A Case Study
Get PDFOrdinary differential equation (ODE) models are often used to quantitatively describe and predict the dynamic responses of biological and other systems. Models with many parameters, limited measurement data and in need of quantification are typically unidentifiable from available input/output data. Even models that are structurally identifiable can be difficult to quantify in practice from limited data. For overparameterized models (OPMs), it is often helpful to simplify the model, by rationally reducing the dimensionality of the parameter space. This is done by finding a set of "key parameters" to estimate, a subset that best represents the dominant model dynamic responses. OPMs are often characterized by pairwise parameter correlations close to 1 in magnitude and at least some unacceptably large parameter estimation variances. The goal is to get the best fit possible with a smaller number of parameters, each with acceptable variances. Several published methods for selecting the key parameter subset are based on parameter sensitivity analysis and/or analysis of the parameter covariance matrix estimated from the input/output data. We apply a combination of these methods to an overparameterized candidate model of tumor suppressor protein p53. The model comprises of 4 ODEs, 23 unknown parameters, and noisy output measurements of the 4 state variables and the input. Three least sensitive and highly correlated parameters were isolated from the analysis and fixed to nominal values. This reduced the parameter search space and yielded substantially improved numerical identifiability properties for the resulting simplified model which fitted the data equally well, using both global and local search algorithms
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