1,720,955 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
zmhesketh/2023_TBVaccine_Confidence
No full textThe analytic code for both the main analysis and the sex- and age group-disaggregated analysis In this repository, you will find two files: (1) Main analysis of 2023 VCP data: This includes analytical code to obtain individual confidence scores, for the 18 high TB burden countries in the dataset, for each of the three statements of interest (vaccines are important for everyone to have, vaccines are safe, vaccines are effective). It also includes the calculation of the overall combined confidence scored based on these individual scores. (2) Sex- and age-group-disaggregated analysis of 2023 VCP data: This includes the analytical code to obtain confidence scores by sex and age group for each of the 18 high TB burden countries in the dataset
Spatio-temporal surveillance of syndromic outbreaks using paediatric patient records from western Rwanda
No full textRapid identification of infectious outbreaks is critical for the timely deployment of containment measures and for better prevention in the future. However, since surveillance mechanisms can be costly and complex to develop, lower-income countries may lack capacity to monitor prevalence data. Outbreaks therefore tend to spread extensively before authorities are notified. To overcome this, patient data can be collected and analysed more thoroughly to yield actionable epidemiological evidence.
Using paediatric patient records from western Rwanda, the primary aim of this Thesis was to develop a syndromic surveillance methodology and accompanying visual dashboard to identify localities and times of year with higher prevalence of priority syndromes. The raw dataset of over 100,000 paediatric consultations was collected between December 2021 and July 2023, spanning 31 health facilities in two districts. A secondary aim was to uncover any statistically significant space-time dependencies in a sub-group of these syndromes, allowing for outbreak detection and evidence-based inference regarding seasonal, geographical, or socio-economic risk factors.
The surveillance methodology consists of a pipeline of data pre-processing, binary syndromic variable coding and visual dashboard-building for six categories of syndromes: respiratory, febrile, diarrhoeal, nutritional, parasitic, and CNS. The prototype dashboard was built in PowerBI and comprises interactive graphs and maps to present prevalence results in an easily interpretable format for health policymakers. For the secondary aim, two scan statistics models were applied to detect the presence of significant high-prevalence clusters for six top interest syndromes. For each syndrome, spatio-temporal clusters were deemed significant when the p-value < 0.01.
The descriptive visualisations generated from our syndromic data revealed several interesting trends. We found that respiratory and febrile syndromes exhibited clearer seasonal fluctuations, particularly increasing at the start and end of the rainy season. Diarrhoeal and malarial syndromes had strong relationships to health facility location, possibly pertaining to factors like elevation and proximity to the lake. On the other hand, nutritional syndromes appeared similarly prevalent throughout the year and across all health facilities. Our statistical dependency analyses also yielded meaningful results, finding at least one significant space-time cluster in four of the six selected syndromes.
These results demonstrate the utility of our surveillance pipeline and visual dashboard for uncovering previously unknown epidemiological trends. If data is consistently collected and consulted by policymakers, outbreaks may be caught early and averted ahead of time. They also suggest that the prevalence of certain syndromes is significantly linked to space-time variables like health facility, village of origin and month of occurrence. In the future, further inferential and predictive analyses, like regression modelling, may be applied to evaluate the independent effect of more specific variables like rainfall, temperature, average income and sanitation levels
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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