1,720,976 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
Développement d’outils de médecine de précision pour accompagner la prise de décision médicale en transplantation
No full textPrecision medicine can be defined as a system of care adapted to an individual using population-based data. The aim of this new medicine’s approach is to optimize an individual's medical care by supporting clinicians in their decision-making process using digital applications for example. This work focuses on 2 applications of precision medicine for transplantation to improve patient care. In this context, we built the Easy-HLA web suite to simplify the analysis of HLA genotypes, essential molecules of the immune response. The core of Easy-HLA's algorithms is a database of more than 600,000 HLA haplotypes and their frequencies. We also created KiTapp, an application that improves patient follow-up after kidney transplantation. KiTapp is designed as a decision support tool for clinicians. This tool exploits data from the DIVAT cohort using contextualization algorithms. Easy-HLA and KiTapp allow the systematic representation, comparison and analysis of individual information compared to a similar population. Tomorrow's medicine is moving towards a precision medicine based on realtime analysis of multiparametric data with the patient as the starting point while relying on computational tools that have become essential nowadays.La médecine de précision redéfinit le système de soins en proposant une adaptation systématique à chaque individu. A l’aide de données en population, cette forme de médecine a pour objectif d’optimiser les soins médicaux d’un individu, par exemple en accompagnant les soignants dans la prise de décision grâce à des applications informatiques. Ce travail s’articule autour de 2 applications de médecine de précision pour la transplantation permettant d’améliorer la prise en charge des patients. Premièrement, la construction de la suite web Easy-HLA permet de simplifier l’analyse des génotypes HLA, molécules essentielles de la réponse immunitaire. Le coeur des algorithmes d’Easy-HLA est une base de données de plus de 600 000 haplotypes HLA et leurs fréquences. Deuxièmement, la création de l’application KiTapp aide à améliorer le suivi des patients après une transplantation rénale. KiTapp est pensé comme un outil d’aide à la décision pour les cliniciens. Cet outil se base sur l’exploitation des données de la DIVAT à l’aide d'algorithmes de contextualisation et cristallise la notion de POI/POR. Easy-HLA et KiTapp permettent de représenter, comparer et analyser systématiquement une information individuelle dans le contexte d’une population analogue. La médecine de demain tend vers une médecine de précision basée sur l’analyse en temps réel de données multiparamétriques avec pour point de départ le patient, en s’appuyant sur des outils informatiques devenus incontournables
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
Development of precision medicine tools to support medical decision making in transplantation
No full textLa médecine de précision redéfinit le système de soins en proposant une adaptation systématique à chaque individu. A l’aide de données en population, cette forme de médecine a pour objectif d’optimiser les soins médicaux d’un individu, par exemple en accompagnant les soignants dans la prise de décision grâce à des applications informatiques. Ce travail s’articule autour de 2 applications de médecine de précision pour la transplantation permettant d’améliorer la prise en charge des patients. Premièrement, la construction de la suite web Easy-HLA permet de simplifier l’analyse des génotypes HLA, molécules essentielles de la réponse immunitaire. Le coeur des algorithmes d’Easy-HLA est une base de données de plus de 600 000 haplotypes HLA et leurs fréquences. Deuxièmement, la création de l’application KiTapp aide à améliorer le suivi des patients après une transplantation rénale. KiTapp est pensé comme un outil d’aide à la décision pour les cliniciens. Cet outil se base sur l’exploitation des données de la DIVAT à l’aide d'algorithmes de contextualisation et cristallise la notion de POI/POR. Easy-HLA et KiTapp permettent de représenter, comparer et analyser systématiquement une information individuelle dans le contexte d’une population analogue. La médecine de demain tend vers une médecine de précision basée sur l’analyse en temps réel de données multiparamétriques avec pour point de départ le patient, en s’appuyant sur des outils informatiques devenus incontournables.Precision medicine can be defined as a system of care adapted to an individual using population-based data. The aim of this new medicine’s approach is to optimize an individual's medical care by supporting clinicians in their decision-making process using digital applications for example. This work focuses on 2 applications of precision medicine for transplantation to improve patient care. In this context, we built the Easy-HLA web suite to simplify the analysis of HLA genotypes, essential molecules of the immune response. The core of Easy-HLA's algorithms is a database of more than 600,000 HLA haplotypes and their frequencies. We also created KiTapp, an application that improves patient follow-up after kidney transplantation. KiTapp is designed as a decision support tool for clinicians. This tool exploits data from the DIVAT cohort using contextualization algorithms. Easy-HLA and KiTapp allow the systematic representation, comparison and analysis of individual information compared to a similar population. Tomorrow's medicine is moving towards a precision medicine based on realtime analysis of multiparametric data with the patient as the starting point while relying on computational tools that have become essential nowadays
Développement d’outils de médecine de précision pour accompagner la prise de décision médicale en transplantation
No full textPrecision medicine can be defined as a system of care adapted to an individual using population-based data. The aim of this new medicine’s approach is to optimize an individual's medical care by supporting clinicians in their decision-making process using digital applications for example. This work focuses on 2 applications of precision medicine for transplantation to improve patient care. In this context, we built the Easy-HLA web suite to simplify the analysis of HLA genotypes, essential molecules of the immune response. The core of Easy-HLA's algorithms is a database of more than 600,000 HLA haplotypes and their frequencies. We also created KiTapp, an application that improves patient follow-up after kidney transplantation. KiTapp is designed as a decision support tool for clinicians. This tool exploits data from the DIVAT cohort using contextualization algorithms. Easy-HLA and KiTapp allow the systematic representation, comparison and analysis of individual information compared to a similar population. Tomorrow's medicine is moving towards a precision medicine based on realtime analysis of multiparametric data with the patient as the starting point while relying on computational tools that have become essential nowadays.La médecine de précision redéfinit le système de soins en proposant une adaptation systématique à chaque individu. A l’aide de données en population, cette forme de médecine a pour objectif d’optimiser les soins médicaux d’un individu, par exemple en accompagnant les soignants dans la prise de décision grâce à des applications informatiques. Ce travail s’articule autour de 2 applications de médecine de précision pour la transplantation permettant d’améliorer la prise en charge des patients. Premièrement, la construction de la suite web Easy-HLA permet de simplifier l’analyse des génotypes HLA, molécules essentielles de la réponse immunitaire. Le coeur des algorithmes d’Easy-HLA est une base de données de plus de 600 000 haplotypes HLA et leurs fréquences. Deuxièmement, la création de l’application KiTapp aide à améliorer le suivi des patients après une transplantation rénale. KiTapp est pensé comme un outil d’aide à la décision pour les cliniciens. Cet outil se base sur l’exploitation des données de la DIVAT à l’aide d'algorithmes de contextualisation et cristallise la notion de POI/POR. Easy-HLA et KiTapp permettent de représenter, comparer et analyser systématiquement une information individuelle dans le contexte d’une population analogue. La médecine de demain tend vers une médecine de précision basée sur l’analyse en temps réel de données multiparamétriques avec pour point de départ le patient, en s’appuyant sur des outils informatiques devenus incontournables
- …
