1,720,979 research outputs found
Asymptomatic Parasitemia and Risk of Febrile Malaria (Kilifi)
No full textThe data is based on 3 cohorts in Kilifi of varying malaria transmission intensities, comprising Ngerenya (low transmission), Junju (moderate to high transmission), and Chonyi (high transmission). The data were prospectively collected between 1998 and 2014 for Ngerenya, 2005 and 2010 for Junju, and 1999 and 2001 for Chonyi. In these cohorts, children were recruited at birth for weekly clinical malaria monitoring until the age of 15 years.</p
Asymptomatic Parasitemia and Risk of Febrile Malaria (Kilifi)
No full textThe data is based on 3 cohorts in Kilifi of varying malaria transmission intensities, comprising Ngerenya (low transmission), Junju (moderate to high transmission), and Chonyi (high transmission). The data were prospectively collected between 1998 and 2014 for Ngerenya, 2005 and 2010 for Junju, and 1999 and 2001 for Chonyi. In these cohorts, children were recruited at birth for weekly clinical malaria monitoring until the age of 15 years.</p
Replication Data for: The emergence of an indigenous artemisinin-resistant Plasmodium falciparum in Africa
No full textA summary of mutations in the Plasmodium falciparum kelch 13 across sub-Saharan Africa from 2012-202
An optimisation of four SARS-CoV-2 qRT-PCR assays in a Kenyan laboratory to support the national COVID-19 rapid response teams
No full textqRT-PCR replication dataset generated from the optimisation of four assays for SARS-CoV-2 diagnosi
Replication Data for: A retrospective analysis of P. falciparum drug resistance markers detects an early (2016/17) high prevalence of the k13 C469Y mutation in asymptomatic infections in Northern Uganda
No full textThis data were generated from targeted amplicon sequencing of Plasmodium falciparum, the most lethal malaria parasite affecting humans.
The sequencing targeted the following P. falciparum genes: apical membrane antigen 1 (Pfama1: PF3D7_1133400), dihydrofolate reductase (Pfdhfr: PF3D7_0417200), dihydropteroate synthase (Pfdhps: PF3D7_0810800), kelch13 (Pfk13: PF3D7_1347700), and multidrug resistance 1 (Pfmdr1: PF3D7_0523000). These genes are critical for understanding the parasite's resistance mechanisms and for the development of antimalarial drugs.
The samples were collected from patients at Kitgum General Hospital, located in Uganda, between September 2016 and September 2017. The collection aimed to investigate the genetic diversity and drug resistance patterns of P. falciparum in this region.
Sequencing libraries were prepared from the collected samples and were normalized to equimolar concentrations to ensure uniform coverage across all targeted regions.
The libraries were then denatured and spiked with an 8% PhiX DNA control to monitor sequencing performance. Sequencing was performed on an Illumina MiSeq platform using the MiSeq Reagent Kit v3, achieving read lengths of 2x300 base pairs
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
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