1,720,959 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
Industrialisation des procédures d'analyses de données de séquençage pan-génomiques constitutionnelles
No full textThe number of rare diseases is assessed between 5000 and 8000 distinct pathologies. Individually, these diseases are rare, but together they represent a major health problem at the population level. Because of the limited number of patients with certain diseases and the lack of knowledge about them, diagnosis for patients is often delayed.More than 80 % of rare diseases have a genetic origin, the vast majority of which are monogenic. The democratization of high-throughput sequencing technologies since 2005 has allowed the massive acquisition of genomic data from both healthy individuals and patients. However, establishing a diagnosis of a rare disease with current molecular biology technologies remains difficult.The industrial-scale application of exome and genome sequencing analyses associated with the constant increase in medical knowledge represents a concrete hope to bring a diagnosis to the majority of patients concerned by a rare disease suspected to be genetic.This thesis was particularly interested in the implementation of processes for constitutional genome-wide sequencing data analysis following industrial standards and bioinformatics good practices. Then, in the detection of copy number variations from exome sequencing data, but under-explored by many laboratories.Finally, this thesis has allowed the development and the initiation of collaborations still active today. This has been concretized by a study on detection of small somatic variations in an in vitro model of cancer development linked to the cellular microenvironment, the detection of structural variations using the innovative Oxford Nanopore sequencing technology and the comparison of prioritization methodologies for genetic variations using clinical descriptions based on HPO terms.Le nombre de maladies rares est estimé à entre 5000 et 8000 pathologies distinctes. Elles sont individuellement rares puisque par définition elles affectent moins de 1 individu sur 2000 dans la population générale, mais leur nombre les rend collectivement fréquentes. En raison du nombre limité de patients atteints de certaines maladies et du manque de connaissances à leur sujet, le diagnostic pour les patients est souvent retardé.Plus de 80 % des maladies rares auraient une origine génétique, en grande majorité monogénique. La démocratisation des technologies de séquençage à haut débit depuis 2005 a permis l’acquisition massive de données génomiques que ce soit d’individus sains ou de patients. Pourtant, établir un diagnostic de maladie rare avec les technologies de biologie moléculaire actuelle reste difficile.L’application à échelle industrielle des analyses de séquençage d’exome et de génome associée avec l’augmentation constante des connaissances médicales représente un espoir concret pour apporter un diagnostic à la majorité des patients concernés par une maladie rare suspecte d’être génétique.Cette thèse s’est particulièrement intéressée à la mise en place de processus d’analyse de données de séquençage pangénomiques constitutionnelles selon les standards industriels et les bonnes pratiques en vigueur dans le domaine. Puis, à la détection de variations de nombre de copies à partir de données de séquençage d’exomes, analyse souvent inexplorée par de nombreux laboratoires.Enfin, cette thèse aura permis le développement et l’initiation de collaborations encore actives à ce jour. Cela s’est concrétisé par une étude ayant comme objet la détection de variations la détection somatique de petite taille dans un modèle in vitro de développement de cancer lié au microenvironnement cellulaire, la détection de variations structurales à l’aide de la technologie de séquençage novatrice Oxford Nanopore et la comparaison de méthodologies de priorisations de variations génétiques à l’aide de descriptions cliniques basées sur les termes HPO
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
Industrialization of constitutional pan-genomic sequencing data analysis procedures
No full textLe nombre de maladies rares est estimé à entre 5000 et 8000 pathologies distinctes. Elles sont individuellement rares puisque par définition elles affectent moins de 1 individu sur 2000 dans la population générale, mais leur nombre les rend collectivement fréquentes. En raison du nombre limité de patients atteints de certaines maladies et du manque de connaissances à leur sujet, le diagnostic pour les patients est souvent retardé.Plus de 80 % des maladies rares auraient une origine génétique, en grande majorité monogénique. La démocratisation des technologies de séquençage à haut débit depuis 2005 a permis l’acquisition massive de données génomiques que ce soit d’individus sains ou de patients. Pourtant, établir un diagnostic de maladie rare avec les technologies de biologie moléculaire actuelle reste difficile.L’application à échelle industrielle des analyses de séquençage d’exome et de génome associée avec l’augmentation constante des connaissances médicales représente un espoir concret pour apporter un diagnostic à la majorité des patients concernés par une maladie rare suspecte d’être génétique.Cette thèse s’est particulièrement intéressée à la mise en place de processus d’analyse de données de séquençage pangénomiques constitutionnelles selon les standards industriels et les bonnes pratiques en vigueur dans le domaine. Puis, à la détection de variations de nombre de copies à partir de données de séquençage d’exomes, analyse souvent inexplorée par de nombreux laboratoires.Enfin, cette thèse aura permis le développement et l’initiation de collaborations encore actives à ce jour. Cela s’est concrétisé par une étude ayant comme objet la détection de variations la détection somatique de petite taille dans un modèle in vitro de développement de cancer lié au microenvironnement cellulaire, la détection de variations structurales à l’aide de la technologie de séquençage novatrice Oxford Nanopore et la comparaison de méthodologies de priorisations de variations génétiques à l’aide de descriptions cliniques basées sur les termes HPO.The number of rare diseases is assessed between 5000 and 8000 distinct pathologies. Individually, these diseases are rare, but together they represent a major health problem at the population level. Because of the limited number of patients with certain diseases and the lack of knowledge about them, diagnosis for patients is often delayed.More than 80 % of rare diseases have a genetic origin, the vast majority of which are monogenic. The democratization of high-throughput sequencing technologies since 2005 has allowed the massive acquisition of genomic data from both healthy individuals and patients. However, establishing a diagnosis of a rare disease with current molecular biology technologies remains difficult.The industrial-scale application of exome and genome sequencing analyses associated with the constant increase in medical knowledge represents a concrete hope to bring a diagnosis to the majority of patients concerned by a rare disease suspected to be genetic.This thesis was particularly interested in the implementation of processes for constitutional genome-wide sequencing data analysis following industrial standards and bioinformatics good practices. Then, in the detection of copy number variations from exome sequencing data, but under-explored by many laboratories.Finally, this thesis has allowed the development and the initiation of collaborations still active today. This has been concretized by a study on detection of small somatic variations in an in vitro model of cancer development linked to the cellular microenvironment, the detection of structural variations using the innovative Oxford Nanopore sequencing technology and the comparison of prioritization methodologies for genetic variations using clinical descriptions based on HPO terms
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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