1,721,049 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
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
Parasite genetic effects and host interactions in Plasmodium falciparum malaria
No full textMalaria remains a substantial public health threat. Over recent decades improvements in rates of mortality from Plasmodium falciparum malaria have been observed in Africa where most disease burden persists. This success however, is threatened by parasite counter evolution against anti-malarial drugs and recently approved vaccines for falciparum malaria. Human genetics has been extensively studied in terms of malarial disease. Comparatively little is understood about parasite genetic effects on disease outcomes, and their response to natural or vaccine induced host immunity. There is therefore a need to investigate parasite genetics and how they interact with the host’s in order to inform intervention strategies, control disease, and reach the eventual goal of elimination. This requires the generation of large datasets of host and parasite genetic information, alongside accurate phenotypic data, to infer how these factors influence disease outcomes.
In this thesis, I develop a new resource to investigate parasite and human genetic variation in malarial disease, using severe and mild cases collected in Gambian infants from 1988-90 (the ‘GAMCC’ resource). I integrate this with public datasets to perform powered, cross population analyses including an unbiased, genome-wide scan for parasite genetic effects on disease severity. This indicates a potential association on parasite chromosome 1 with evidence of replication but reveals minimal evidence of strong parasite genetic effects overall. I further investigate the recent finding that P. falciparum is evolving at loci known as Pfsa to counteract HbS-mediated resistance, identifying a novel putative region of interaction on parasite chromosome 2 (named Pfsa2B). I also uncover additional potential population-specific effects, highlighting the intricacy of HbS-Pfsa relationships. Through novel methods development I characterise complex structural variation at Pfsa3, which extends the potential that this might underlie the association of this region with HbS. My analyses provide important insights into host-pathogen interactions, opening possibilities for several future functional studies
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
The impact of low-coverage whole-genome sequencing on advancing genetic epidemiology studies in global populations
Full text linkGenetic epidemiology connects genomics with population health, offering insights into disease susceptibility, progression, and treatment outcomes. Understanding how genetic variation shapes these traits reveals biological mechanisms and informs clinical interventions. Yet, most existing knowledge stems from European, American, and select Asian populations, leaving major gaps in underrepresented regions where infectious diseases are most common. Expanding genomic studies to these populations is essential for scientific equity and a fuller understanding of human biology. Low-coverage whole-genome sequencing (lcWGS) offers a cost-effective, unbiased alternative to genotyping arrays and deep sequencing. LcWGS with imputation enables accurate variant discovery without ascertainment bias, enhancing sensitivity to population-specific and complex variants and making it especially valuable for large-scale global studies.This thesis explores the potential of lcWGS in genetic epidemiology through applications in the context of global populations with two cohorts from Africa and Asia. Using samples from The Gambia, I benchmarked lcWGS performance in detecting genome-wide variants, HLA alleles, and structural variants, demonstrating its strong potential for comprehensive variant discovery. In addition, I developed strategies to further improve imputation accuracy by refining computational workflows and enhancing population representation. Then, I applied lcWGS in a genome-wide association study of Hepatitis C Virus infection in a Vietnamese cohort, identifying a regulatory variant of OSBPL2 that likely influences viral replication. Together, these findings demonstrate lcWGS as a scalable, accurate, and inclusive approach for global genetic studies
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