1,721,091 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
Adaptive penalized likelihood method for Markov chain and its oracle properties
No full textThe maximum likelihood estimation (MLE) and Likelihood Ratio Test (LRT) are widely used methods for estimating the transition probability matrix in Markov chains and identifying significant relationships between transitions, such as equality. However, the estimated transition probability matrix derived from MLE lacks accuracy compared to the real one, and LRT is inefficient in high-dimensional Markov chains. In this study, we extended the adaptive Lasso technique from linear models to Markov chains and proposed a novel model by applying penalized maximum likelihood estimation to optimize the estimation of the transition probability matrix. We name this novel methodology McALasso. Additionally, we demonstrated that McALasso enjoys oracle properties, meaning the estimated transition probability matrix performs as well as the true one when given. Simulations show that our new method performs very well overall in comparison with various competitors. Real data analysis further convinces us of the value of our proposed method.Science, Irving K. Barber Faculty of (Okanagan)Computer Science, Mathematics, Physics and Statistics, Department of (Okanagan)Graduat
Higher-order corrections on the denaturation of homogeneous DNA thermodynamics
No full textDNA denaturation, the process of separating double-stranded DNA into single strands, plays a critical role in fundamental biological processes such as transcription, replication, and repair. Despite extensive studies on its thermodynamic properties, the effects of thermal fluctuations on DNA denaturation have not yet been explored. This paper addresses this gap by developing a statistical mechanical model to analyze homogeneous DNA denaturation thermodynamics with thermal fluctuations. Using the partition function framework, this study introduces two major corrections to the entropy of the system induced by thermal fluctuations: (1) a logarithmic correction of the leading order and (2) a higher-order correction term proportional to the inverse of the entropy. Analytical calculations and numerical analysis reveal that these corrections significantly influence the thermodynamic properties, including specific heat and free energy, leading to a more nuanced understanding of the DNA melting process. The corrected entropy modifies the specific heat profile, resulting in a sharp peak that reflects a first-order phase transition during DNA denaturation. The inclusion of higher-order corrections introduces asymmetry in the specific heat curve, highlighting the cooperative behavior of DNA melting. Furthermore, the free-energy analysis suggests the presence of intermediate states during strand separation, which are critical for understanding the initiation and propagation of the denaturation process. The results align well with experimental DNA melting profiles, particularly in the transition region, and provide insights into the microscopic mechanisms underlying DNA melting. This study not only advances the theoretical framework for DNA denaturation by explicitly incorporating thermal fluctuations but also offers a platform for future experimental validation and applications in biological systems. These findings have broader implications for understanding DNA stability under physiological conditions, cellular processes such as transcription initiation, and the role of ionic environments in modulating DNA thermodynamics.TUBITAK; ANKOS; SCOAP
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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