1,721,055 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
OSMOTIC INDICES AND KIDNEY CONCENTRATING ACTIVITY: POPULATION-BASED DATA ABOUT CORRELATES AND PROGNOSTIC POWER
No full textBackground. Research data are limited about indices of osmotic equilibrium and of kidney concentrating activity. This study investigated correlates and prognostic power of these indices in a sample of the general population. Methods. Urine osmolality (U-osm), plasma osmolality (P-osm), plasma creatinine, and other variables were measured by Gubbio Study for the 1988-92 exam (baseline). Plasma creatinine and other variables were re-measured in 2001-07 (follow-up). Kidney concentrating activity was assessed as U-osm/P-osm ratio and kidney function as estimated glomerular filtration rate (eGFR). Results. Baseline data were complete in 4220 adults of whom 852 dead before follow-up and 2795 participated in follow-up. At baseline, there were the following independent cross-sectional associations: female sex and higher urine flow with lower values of U-osm, P-osm, and U-osm/P-osm ratio (P<0.01); obesity with higher values of U-osm, P-osm, and U-osm/P-osm ratio (P<0.01); older age and lower eGFR with lower U-osm, lower U-osm/P-osm ratio, and higher P-osm (P<0.05); hypertension and smoking with lower U-osm and lower U-osm/P-osm ratio (P<0.05) but not with P-osm. From baseline to follow-up, annualized rate was 1.26% for mortality and -0.74±0.76 mL/min x 1.73 m2 for eGFR change. Mortality was independently predicted by baseline U-osm and baseline U-osm/P-osm ratio (hazard ratio for one higher SD ≤0.91, 95% confidence interval ≤0.97, P< 0.01), but not by baseline P-osm. eGFR change was not independently predicted by baseline values of U-osm, P-osm, and U-osm/P-osm ratio (P≥0.4). Conclusions. Sex, age, obesity, eGFR, urine flow, hypertension, and smoking independently correlated with U-osm and kidney concentrating activity. U-osm and kidney concentrating activity independently predicted mortality, but not kidney function change over time
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
Population-based dose-response curve of glomerular filtration rate to dietary protein intake
No full textBACKGROUND:
Kidney function measured as estimated glomerular filtration rate (eGFR) is a risk factor for mortality and severe diseases. Protein intake up-regulates kidney function. The dose-response curve of eGFR over protein intake is unknown. Urinary urea nitrogen is an objective index of protein intake.
METHODS:
The study cross-sectionally analysed the relation between overnight urinary urea nitrogen ((on)U-ureaN) and eGFR with and without control for other variables in 4106 adults of the Gubbio population. Analyses were done for serum creatinine (S-cr) also to investigate the independency of results from eGFR calculation.
RESULTS:
Higher (on)U-ureaN associated with higher eGFR, and lower S-cr independently of sex and age (simple and partial correlation coefficients >0.100, P 10.12 mg/h, respectively). Multi-variable spline regression indicated that the relation of eGFR over (on)U-ureaN was non-significant for (on)U-ureaN 10.12 mg/h (coefficient = +0.05, 95% CI = -0.06/ +0.16, P = 0.394). eGFR differed by ≈8 mL/min × 1.73 m(2) between the lowest and highest 20% of (on)U-ureaN distribution.
CONCLUSIONS:
Higher protein intake relates to higher eGFR. The relation is sigmoid with eGFR up-regulation for (on)U-ureaN >5.19 mg/h, a threshold approximately corresponding to the recommended daily allowance for protein intake (0.8 g/day per kg of ideal weight)
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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