1,721,044 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
Bottlenecks and Future Outlooks for High-Throughput Technologies for Filamentous Fungi
No full textFrom the first cloning into bacteria in 1973 by Stanly Cohen and Herbert Boyer to today’s ability to simultaneously parallel hundreds of different cloning events in one plate, the scientific community has proven again its lack of limitations. Biotechnology has adapted classic low-throughput lab bench protocols and morphed them into a fully functional high-throughput automated factory. Yet, despite the vast potential for both academic and industrial research, these technologies have yet to be fully realized in all organisms. As is the general progression in molecular biology, most technologies are first perfected on bacteria such as Escherichia coli and then moved to yeast and finally to filamentous fungi and mammalian cells. With current high-throughput methods, we can reliably work with many yeasts and bacteria, but as filamentous fungi have some vast growth and working differences, these have been slower to uptake. Some of these differences include larger more spread out plated colonies with easily airborne spores (making picking hard), nonhomogenous growth in liquid media due to mycelia (making liquid handling hard), and the potential for heterokaryons (making screening hard). Despite these bottlenecks, the future is bright as there are examples of both academia and industry beginning to solve some of these issues. We are optimistic that we will eventually see a fully automated high-throughput system that is as easy to use for filamentous fungi as it is for bacteria and yeast
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
Fungal Biotechnology: Unlocking the Full Potential of Fungi for a More Sustainable World
No full textIn the future bio-based society, leaving the fossil-based era, a wide range of challenges will have to be solved by new biological solutions. Among the core technologies for this transformation are fungal (and bacterial) production of proteins, metabolites and chemicals and biological processing (using microbial enzymes, substituting for chemical processing). Currently, new biorefinery technologies are being developed, aimed at converting crop residues and industrial sidestreams and waste streams to higher-value products. The new biorefinery development started with conversion of wheat straw and corn stover to biofuel. Over the last 5–10 years, it has expanded rapidly into cascading biomass-conversion processes, unlocking the full potential of the biomass and producing high-value products, such as food and feed ingredients as well as specialty chemicals and materials. Fungi have taken centre-stage in this development. In this chapter, we provide a comprehensive overview of what comes next, depicting in which areas fungi, fungal enzymes and fungal metabolites can contribute significantly to addressing global challenges, first and foremost related to mitigating climate change and providing sufficient food for a rapidly growing global population. However, fungi can do much more! The chapter reviews a broad spectrum of such opportunities for creation of societal and environmental value: opening paths towards improved health for humans and animals, discovery of new drug candidates and reducing risk of developing lifestyle diseases and antibiotic resistance and substituting agricultural pesticides with biologicals. For all the areas reviewed where fungi can be of major importance for contributing to a more sustainable world, we pinpoint where new biotechnology challenges have to be overcome to unlock the opportunities
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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