1,721,036 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
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High-throughput phenotyping and modeling to dissect the genetic architecture of plant plasticity and growth
Plant development consists of a tight web of interconnected traits that are jointly affected by genetics and the environment. These traits not only are affected by internal and environmental cues but can influence and be influenced by other traits as well. In this dissertation, I describe two projects where I develop frameworks for examining potential mechanisms underlying phenotypic variation and show how perturbations of one trait may cause other traits to vary. In the first project, I use the shade avoidance response as a model system for understanding the genetic architecture of late development plasticity. I leverage multiple data sets - bolting time, rosette biomass, inflorescence growth, etc. - in conjunction with path models to better describe cascading effects of QTL to explain colocalizations of QTL for different traits. I show how combinations of direct and indirect QTL effects can lead to variation in plasticity. In the second project, I take advantage of dense time series data to develop a model for measuring relative growth rates from growth curves called SplineRGR. SplineRGR is a parsimonious and flexible framework that demonstrates how perturbations in a latent trait - relative growth rate - can result in a wide range of patterns in overall growth dynamics. Overall, this dissertation illustrates that using complex models to leverage increasingly intricate data sets can provide insight into the genetic architecture of developmental traits and a more unified view of the genotype-phenotype map
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
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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Unveiling the Path to Seasonal Flowering Responses: Exploring the Regulatory Mechanisms of Flowering Synchrony and Long-day Photoperiodic Responses
Annual plants possess the ability to perceive a broad spectrum of signals from their external and internal environments, enabling them to flexibly regulate flowering timing and optimize this crucial reproductive transition in seasonal conditions. However, the mechanisms underlying most of the seasonal flowering responses observed in the natural environments remain elusive, despite the wealth of molecular knowledge related to flowering-regulating genes and pathways. This dissertation presents two case studies related to seasonal flowering responses and explores the underlying molecular mechanisms. In the first chapter, I investigate vernalization-induced flowering synchrony in Arabidopsis thaliana. My findings unveil the contributions of both leaf-based and non-leaf-based regulatory mechanisms to flowering synchrony, emphasizing the critical role of inter-organ crosstalk. The second chapter explores the molecular mechanisms underlying the long-day photoperiodism of annual Mimulus guttatus. Using QTL mapping and RNAseq, I reveal distinct molecular mechanisms capable of yielding similar photoperiodic responses, highlighting the flexibility of flowering pathways. Lastly, I examine differential transcriptomic regulations in response to constant and diel temperature fluctuations using Mimulus guttatus. This study is a component of a broader project that focuses on how plants interact with the real-world environment, which is crucial for achieving a comprehensive understanding of the seasonal flowering responses observed in natural conditions. Overall, these studies establish a foundational understanding of seasonal flowering responses and highlight the necessity of exploring interplays among pathways and among plant organs to obtain comprehensive insights into these phenomena
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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