1,721,033 research outputs found
Supplemental Material - Differences in Cervical Cancer Outcomes by Caribbean Nativity in Black and White Women in Florida
Supplemental Material for Differences in Cervical Cancer Outcomes by Caribbean Nativity in Black and White Women in Florida by Patricia P. Jeudin, Alex P. Sanchez-Covarrubias, Amanda R. Thiele, Isildinha M. Reis, Erin Kobetz, Sophia H. L. George, and Matthew P. Schlumbrecht in Cancer Control</p
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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.
Author-wise bibliometric analysis based on entropy.</p
Abstract PO-046: Predicting breast cancer survival outcomes in a tri-racial/ethnic population
Abstract Objective: In the United States, breast cancer is the most common cancer for women, and it alone accounts for 30% of all new cancer diagnoses in women. Considered the complexity of decision on breast cancer therapy decision, we develop a model to predict 5-year overall survival at the time of diagnosis based on demographic and pathological factors, and estimate the potential benefit from different breast cancer treatment regimens for each individual patient. Methods: Using tumor registry data from University of Miami Health System and Jackson Memorial Hospital from 2008 to 2018, 4021 breast cancer patients were selected. After preliminary screening of data, based on previous research and clinical evidence, univariate and multivariate Cox regression analysis were performed to assess the effect of the potential prognosticators of overall survival. Twelve variables from multivariate Cox model were selected to build the prediction model with adjustment of interaction between predictors. Results: This prediction model based on race/ethnicity, age at diagnosis, smoking status, tumor stage, tumor grade, hormone receptor status, human epidermal growth factor 2, surgery, radiotherapy, chemotherapy, hormone therapy, and immunotherapy had good discrimination and calibration in bootstrap validation set with an C-statistic 0.82, and no significant difference between the predicted and the observed probabilities. Conclusion: We have developed a robust, relatively accurate, and easy-demonstrated tool that is able to predict 5-year overall survival in patients with invasive breast cancer, with reference to indicate the impact of potential treatment on prognosis. This allowed better communication between clinician and individual patient to make joint clinical decision. Citation Format: Kaicheng Wang, George R. Yang, Jennifer J. Hu, Isildinha M. Reis, Wei Zhao, Stuart Herna. Predicting breast cancer survival outcomes in a tri-racial/ethnic population [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-046
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