1,720,971 research outputs found
Guidelines for the standardized collection of predictor variables in studies for pediatric sepsis (guidelines)~Pediatric Sepsis Predictors Standardization (PS2) Working Group
No full textThese guidelines aim to maximize the efficiency of data-sharing collaborations in pediatric sepsis research by facilitating the standardization of data collection in predictors captured in future studies
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
Improved prediction of post-discharge mortality incorporating both the admission and discharge characteristics for children under 5
No full textChildhood mortality remains a significant public health challenge globally, particularly in low- and middle-income countries (LMICs). Despite advances in healthcare, many children under five continue to die following discharge from hospitals, particularly after treatment for severe infections. The transition from hospital to home is a vulnerable period yet often overlooked, with prediction models focusing on in-hospital outcomes. The Smart Discharge approach was developed to address this gap, leveraging predictive algorithms to identify children at high risk of post-discharge mortality. However, current models primarily rely on admission data, overlooking in-hospital disease progression and discharge characteristics that could further improve the accuracy of risk predictions. This thesis seeks to enhance the Smart Discharge model by incorporating both admission and discharge variables into the predictive algorithm.
We used an elastic net regression approach incorporating both admission and discharge characteristics to develop an improved post-discharge mortality prediction model for children under 5. We applied 10-fold cross-validation for internal validation and assessed improvements in risk classification with the Net Reclassification Index (NRI). Subgroup analyses were performed to compare predicted mortality across different strata, and missing data were addressed using k-nearest neighbor (KNN) imputation for admission variables and Multiple Imputation by Chained Equations (MICE) for discharge variables.
In the under-6-month cohort, the enhanced admission plus discharge model (AUROC=0.82, 95% CI: 0.79 – 0.85) significantly outperformed the admission-only model (AUROC= 0.75, 95% CI: 0.72 -0. 79). The precision-recall AUC was also higher (PR-AUC = 0.37 vs 0.24), indicating better identification of true positives. Calibration plots showed that the combined model was better calibrated at higher predicted probabilities. Similarly, the 6-60-month cohort showed superior performance with the combined model (AUROC = 0.81, PR-AUC = 0.28) versus the admission-only model (AUROC = 0.75, PR-AUC = 0.17). Key discharge variables in the final model for both under-6 and 6-60 months cohorts included oxygen saturation at discharge, discharge feeding status, and discharge status (e.g., unplanned discharge or referral to higher care).
The enhanced Smart Discharge models significantly improved predictive performance compared to admission-only models, enabling more accurate identification of children at risk of post-discharge mortality.Medicine, Faculty ofPopulation and Public Health (SPPH), School ofGraduat
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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