1,721,027 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
Innovating the treatment of inherited bleeding disorders by pharmacokinetic- and pharmacodynamic-guided dosing
Hemophilia A, hemophilia B and von Willebrand disease (VWD) are inherited bleeding disorders that are mostly treated with factor concentrates to prevent bleeding. When persons receive the same factor concentrate dose per kilogram bodyweight, large differences in achieved factor levels are observed in the blood due to inter-individual differences in pharmacokinetics (PK). A potential solution to more adequate dosing of these concentrates is found in PK-guided dosing. Herewith, the dose is tailored to the individual by application of maximum a priori (MAP) Bayesian forecasting. To apply MAP Bayesian forecasting and estimate individual PK parameters, population PK models should be available. Studies in this thesis describe the development of population PK models for clotting factor concentrates applied in hemophilia and VWD. Moreover, in a prospective study we observed that the predictive performance of PK-guided prophylactic dosing with factor concentrates is adequate in clinical practice for persons with hemophilia.Importantly, during prophylactic therapy hemophilia patients with similar clotting factor levels in the blood exhibit a different bleeding tendency. The latter demonstrates inter-individual variability in bleeding phenotypes (pharmacodynamics (PD)). An innovative and alternative approach could be to dose factor concentrates based on both PK and PD parameters, as this may lead to further improvement in dosing personalization. In this thesis, we present the first steps to support dosing based on PK and PD parameters for persons with hemophilia. We developed population PK/PD models that describe the relationship between factor levels and the individual hemostatic potential or the individual bleeding risk. In conclusion, the results of this thesis contribute to personalized treatment of persons with hemophilia and VWD
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
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
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