1,721,045 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Chemoinformatics of DNA-encoded libraries : design, in silico generation, management, analysis, and comparison
Cette thèse est dédiée à la génération de l'espace virtuel de 2.5K chimiothèques codées par ADN et à leur analyse chémoinformatique détaillée par structures et propriétés. Des méthodologies basées sur GTM permettant de comparer rapidement et de sélectionner les chimiothèques DEL optimales parmi des milliers de possibilités en fonction de la similarité structurelle ou par propriétés par rapport à une base de données de référence ont été développées. Le problème de l'énumération combinatoire des composés a été abordé en développant un modèle d’apprentissage profond capable de prédire la position d'un composé sur la GTM en se basant uniquement sur les réactifs associés et les réactions, en évitant l'énumération. Des modèles permettant de prédire la réactivité des réactifs et l'activité biologique des composés DEL ont été créés. Ces derniers couplés à la visualisation GTM, ont permis de rationaliser et de faciliter la sélection des réactifs pour la synthèse DEL et la priorisation des hits.This thesis is dedicated to the generation of the virtual space of 2.5K DNA-encoded libraries and its detailed structural and property chemoinformatic analysis. GTM-based methodologies allowing to quickly compare and select optimal DELs out of thousands of possible ones based on the structural or property similarity to a reference database were developed. The problem of combinatorial compound enumeration was addressed by developing a highly performant deep learning model capable of predicting the position of a compound on the GTM based solely on its building blocks and reactions, skipping compound enumeration. Machine learning models allowing to predict the reactivity of building blocks and activity of DEL compounds were created. The latter coupled with GTM visualization, allowed to rationalize and facilitate the reagent selection for DEL synthesis and hit prioritization
Chemography-based exploration of the ultra-large chemical spaces for medicinal chemistry
Cette thèse est dédiée à l'analyse détaillée de l'espace chimique des chimiothèques ultra-larges à l’aide de l’approche GTM et au développement de ChemSpace Atlas – un outil en ligne conçu pour la navigation à travers des milliards de composés. L'efficacité et la polyfonctionnalité de la GTM ont permis de produire une image détaillée de l'espace chimique actuellement disponible pour les chimistes médicinaux. Plusieurs groupes de composés (fragment-, lead-, drug-, PPI- and NP-like, produits naturels, building blocks, et les bibliothèques codées par l'ADN) ont été systématiquement analysés à l'aide de la GTM hiérarchique. Les dizaines de milliers de cartes ainsi obtenues ont été utilisées comme base principale de l'atlas ChemSpace. Cet outil permet une exploration efficace de l'espace chimique ultra-large sous des angles différents : chimiotypes, diverses propriétés physicochimiques, activités biologiques, etc. En outre, la hiérarchie des cartes offre de multiples niveaux de détail : d'une vue globale de l'ensemble des données sur la carte universelle à la détection de motifs structurels dans des zones distinctes sur les cartes zoomées dédiées aux régions spécifiques.This thesis is dedicated to the detailed GTM-based analysis of the chemical space of ultra-large libraries and development of the online tool for navigation through up to billions of compounds, called ChemSpace Atlas. The efficiency and polyfunctionality of GTM allowed producing a detailed picture of the chemical space currently available to medicinal chemists. Fragment-, lead-, drug-, PPI- and NP-like compounds, genuine NPs, purchasable building blocks, and DNA-encoded libraries were systematically analyzed using hierarchical GTM. The resulting tens of thousands of maps were employed as the main basis of the ChemSpace Atlas. This tool enables efficient exploration of the ultra-large chemical space from different perspectives: chemotypes, various physicochemical properties, biological activities, etc. Moreover, the hierarchy of maps provides multiple levels of detalization: from a global bird’s eye view of the whole dataset on the universal map to the structural pattern detection in separate areas of the region-dedicated zoomed maps
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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