1,721,108 research outputs found
Replication Data for: Pooled testing conserves SARS-CoV-2 laboratory resources and improves turn-around time: experience at KEMRI-Wellcome Trust Programme, Kenya
These data is part of the nationwide testing of SARS-CoV-2 at the KEMRI-Wellcome Trust Programme, Kenya. It contains results of specimens collected between in June 2020 which were processed and screened for SARS-COV-2 using real-time polymerase chain reaction (RT-PCR). Aside from that, it also contains the quantification cycle (Ct) values for both the pools and the individual Ct values. The data is used to describe the experience of using pooled testing at KEMRI-Wellcome Trust Programme, Kenya
Replication Data for: Differences in epidemiology of enteropathogens in children pre- and post-rotavirus vaccine introduction in Kilifi, coastal Kenya
This is a replication dataset for the manuscript titled: "Differences in epidemiology of enteropathogens in children pre- and post-rotavirus vaccine introduction in Kilifi, coastal Kenya.
The dataset is part of long-term surveillance of enteric viruses associated with diarrhea among children under 13 years admitted to the KCH study. It contains result of 28 different enteropathogens in stools screened by Custom TaqMan Array Card (TAC) from children aged less than 13 years. The samples tested were collected in rotavirus pre-vaccine introduction period (2013) and post-vaccine introduction (2016-2018).</p
Replication Data for: Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
This dataset contains whole genomic sequences (WGS) obtained from participants enrolled in a household study undertaken within Kilifi County, located in coastal Kenya. In the study, 47 households (HH) scattered across an area of approximately 21 km2 were followed up over a 6-month period beginning December 2009 and ending June 2010 coinciding with the RSV peak activity months in the area. Twice weekly throughout the study period, a nasopharyngeal-flocked swab (NPS) was obtained from each household member regardless of symptom status. The NPS samples were screened for a range of respiratory viral targets using a multiplex real-time RT-PCR method which subtyped RSV positives into RSVA and RSVB.
The whole genome sequencing (WGS) present in this dataset targeted 20 select households that documented RSV infection of ≥2 members. </p
Replication Data for: Detection of SARS-CoV-2 variant 501Y.V2 in Comoros Islands in January 2021
This a replication dataset for the manuscript titled: "Detection of SARS-CoV-2 variant 501Y.V2 in Comoros Islands in January 2021."
This dataset is part of the continuous genomic surveillance of SARS-CoV-2 courtesy of the Laboratory Sequencing Network created by WHO-AFRO and AFRICA-CDC. This dataset contains results of samples positive for SARS-CoV-2 by real-time PCR for the period 5th January 2020-10th January 2020. Aside from the samples tested and results of the tests, it also contains the patients’ sociodemographic characteristic and cycle threshold.The dataset is used to generate new SARS-CoV-2 genome sequences from RT-PCR positive samples collected from individuals suspected with SARS-CoV-2 in Comoros islands.
The six genomes have been deposited in GISAID (Accession numbers EPI_ISL_1323658 - EPI_ISL_1323663).</p
Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
Infants (under 1-year-old) are at most risk of life threatening respiratory syncytial virus (RSV) disease. RSV epidemiological data alone has been insufficient in defining who acquires infection from whom (WAIFW) within households. We investigated RSV genomic variation within and between infected individuals and assessed its potential utility in tracking transmission in households. Over an entire single RSV season in coastal Kenya, nasal swabs were collected from members of 20 households every 3–4 days regardless of symptom status and screened for RSV nucleic acid. Next generation sequencing was used to generate >90% RSV full-length genomes for 51.1% of positive samples (191/374). Single nucleotide polymorphisms (SNPs) observed during household infection outbreaks ranged from 0–21 (median: 3) while SNPs observed during single-host infection episodes ranged from 0–17 (median: 1). Using the viral genomic data alone there was insufficient resolution to fully reconstruct within-household transmission chains. For households with clear index cases, the most likely source of infant infection was via a toddler (aged 1 to <3 years-old) or school-aged (aged 6 to <12 years-old) co-occupant. However, for best resolution of WAIFW within households, we suggest an integrated analysis of RSV genomic and epidemiological data
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
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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