1,721,152 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
A metamodel for competence assessment: Co.S.M.O.© competences software management for organizations
Get PDFPurpose – This paper aims to propose an explorative metamodel of the key organizational competences management and presents a Web-based tool (Co.S.M.O.© Competences Software Management for Organizations) for all-around assessment of the identified competences. Design/methodology/approach – Building on the Great Eight Competencies Model- GEC, the European Qualifications Framework-EQF and focus group feedback, an online questionnaire was developed to manage the key organizational competences and to adapt the competence metamodel to the Italian context. Findings – The competence metamodel described in this study and its newly designed tool (software with online questionnaire) could be used at the organizational level to improve productivity and efficiency by allowing an easy identification of key organizational competences and facilitating their acquisition and sharing. Research limitations/implications – Currently, the metamodel is mainly theoretical and the software sustained only a partial validation. Practical implications – The developed tool is a dynamic, easy to use and interactive Web-based software useful for managing the competences in both for-profit and not-for-profit organizations. Social implications – European official documents invite companies and institutions to work together and share human capital: the European Qualifications Framework-EQF, at the base of this model, facilitates a common organizational language for human resources management
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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Customizing Scoring Functions in Molecular Docking
Get PDFIn drug discovery, where a model of the protein structure is known, molecular docking is a well-established approach for predictive modeling. Docking algorithms utilize a search strategy for exploring ligand poses within an active site and a scoring function for evaluating the poses. This dissertation explores improvements to both aspects of docking, emphasizing the use of machine learning methods for improving scoring functions. The work is built upon an extensible software platform for modeling molecular interactions, called Surflex.Performance evaluation has been carried out on benchmarks that have been made publicly available, some of which were constructed in the course of this work. The novel tool pdbgrind, developed as part of the infrastructure for this work, was used to generate the large amount of data necessary to create adequate training and test sets. While the dissertation focuses most strongly on the scoring function problem in docking, some effort was also spent on the tightly coupled problem of search, and modest improvements were shown by enhancing Surflex's representation of protein active sites.The bulk of the work describes improvements to empirical scoring functions for protein-ligand interactions. This dissertation demonstrates a robust method for tuning scoring function parameters to improve modeling of known binding phenomena. Penalties for inter-atomic overlap and same-charge repulsion were learned using synthetic negative data. The new function was shown to be equivalent or better than the original function in terms of screening utility on a large and diverse benchmark. This approach was generalized for the entire scoring function to support the use of multiple constraints in refining scoring function parameters. Using the constraint-based optimization procedure, users can exploit multiple types of data to customize functions to suit a particular task or a particular protein target or family of targets. Significant improvement to screening utility was shown using data typical of applications in docking.The main contributions of this dissertation are generalizable methods for generating and exploiting multiple types of data in refining scoring functions for docking. The approaches can be extended to other areas, including quantitative structure activity prediction or protein folding
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Rationalizing Drug Pharmacology based on Computational Methods
Get PDFLarge-scale experimental determination of the protein targets of small molecules is both time-consuming and costly. Computational methods can be used to predict interactions between small molecule and targets, which can help experimentalists find new therapeutic targets or off-targets responsible for undesired side-effects. A data fusion framework for combining multiple similarity computations and a novel method for drawing relationships between drugs based on their clinical effect was developed. Small molecules may be quantitatively compared based on 2D topological structural considerations, based on 3D characteristics directly related to binding, and based on their clinical effects. Given a new molecule along with a set of molecules sharing some biological effect, a single score based on comparison to the known set is produced, reflecting either 2D similarity, 3D similarity, clinical effects similarity or their combination. The methods were systematically applied to a large set of FDA approved drugs (nearly two-thirds).For prediction of off-target effects, the performance of 3D-similarity over either 2D or clinical effects similarity alone was substantial, and there was added benefit from combining all of the methods. In addition to assessing predictive accuracy of the different similarity methods, the relationship between chemical similarity and pharmacological novelty was studied with regards to protein target modulation and clinical effects. Drug pairs that shared high 3D similarity but low 2D similarity (i.e. having different underlying scaffolds) were shown to be much more likely to exhibit pharmacologically relevant differences in terms of specific target modulation and differences in clinical effects
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