Institution
University of Western Australia
Education•Perth, Western Australia, Australia•
About: University of Western Australia is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 29613 authors who have published 87405 publications receiving 3064466 citations. The organization is also known as: UWA & University of WA.
Topics: Population, Poison control, Galaxy, Context (language use), Medicine
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors show that pre-rifting granitoids are widespread in the Yangtze craton, South China, and they exhibit no temporal or spatial zonation, hence no simple genetic relationship can be established between the different granitoid types and geodynamic environments, as suggested previously.
704 citations
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TL;DR: The accurate and efficient CE-B3LYP and CE-HF model energies for intermolecular interactions in molecular crystals are extended to a broad range of crystals by calibration against density functional results for molecule/ion pairs extracted from 171 crystal structures.
704 citations
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University of Melbourne1, University of Washington2, Washington University in St. Louis3, Pontifícia Universidade Católica do Paraná4, Federal University of Paraná5, Queensland University of Technology6, Australian Catholic University7, University of Western Australia8, University of California, San Diego9, Swinburne University of Technology10, Baker IDI Heart and Diabetes Institute11
TL;DR: In this paper, the authors identify eight integrated regional and local interventions that, when combined, encourage walking, cycling, and public transport use, while reducing private motor vehicle use, and recommend establishing a set of indicators to benchmark and monitor progress towards achievement of more compact cities that promote health and reduce health inequities.
704 citations
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TL;DR: A classification of translocations based on specific genetic goals for both threatened species and ecological restoration is provided, separating targets based on ‘genetic rescue’ of current population fitness from those focused on maintaining adaptive potential.
Abstract: Translocations are being increasingly proposed as a way of conserving biodiversity, particularly in the management of threatened and keystone species, with the aims of maintaining biodiversity and ecosystem function under the combined pressures of habitat fragmentation and climate change. Evolutionary genetic considerations should be an important part of translocation strategies, but there is often confusion about concepts and goals. Here, we provide a classification of translocations based on specific genetic goals for both threatened species and ecological restoration, separating targets based on ‘genetic rescue’ of current population fitness from those focused on maintaining adaptive potential. We then provide a framework for assessing the genetic benefits and risks associated with translocations and provide guidelines for managers focused on conserving biodiversity and evolutionary processes. Case studies are developed to illustrate the framework.
703 citations
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TL;DR: To compare body mass index, waist circumference and waist–hip ratio as indices of obesity and assess the respective associations with type 2 diabetes, hypertension and dyslipidaemia is compared.
Abstract:
Objectives To compare body mass index (BMI), waist circumference and waist–hip ratio (WHR) as indices of obesity and assess the respective associations with type 2 diabetes, hypertension and dyslipidaemia
Design and setting A national sample of 11 247 Australians aged ≥25 years was examined in 2000 in a cross-sectional survey
Main outcome measures The examination included a fasting blood sample, standard 2-h 75-g oral glucose tolerance test, blood pressure measurements and questionnaires to assess treatment for dyslipidaemia and hypertension BMI, waist circumference and WHR were measured to assess overweight and obesity
Results The prevalence of obesity amongst Australian adults defined by BMI, waist circumference and WHR was 208, 305 and 158% respectively The unadjusted odds ratio for the fourth vs first quartile of each obesity measurement showed that WHR had the strongest relationship with type 2 diabetes, dyslipidaemia (women only) and hypertension Following adjustment for age, however, there was little difference between the three measures of obesity, with the possible exceptions of hypertension in women, where BMI had a stronger association, and dyslipidaemia in women and type 2 diabetes in men, where WHR was marginally superior
Conclusions Waist circumference, BMI and WHR identified different proportions of the population, as measured by both prevalence of obesity and cardiovascular disease (CVD) risk factors Whilst WHR had the strongest correlations with CVD risk factors before adjustment for age, the three obesity measures performed similarly after adjustment for age Given the difficulty of using age-adjusted associations in the clinical setting, these results suggest that given appropriate cut-off points, WHR is the most useful measure of obesity to use to identify individuals with CVD risk factors
699 citations
Authors
Showing all 29972 results
Name | H-index | Papers | Citations |
---|---|---|---|
Nicholas G. Martin | 192 | 1770 | 161952 |
Cornelia M. van Duijn | 183 | 1030 | 146009 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Steven N. Blair | 165 | 879 | 132929 |
David W. Bates | 159 | 1239 | 116698 |
Mark E. Cooper | 158 | 1463 | 124887 |
David Cameron | 154 | 1586 | 126067 |
Stephen T. Holgate | 142 | 870 | 82345 |
Jeremy K. Nicholson | 141 | 773 | 80275 |
Xin Chen | 139 | 1008 | 113088 |
Graeme J. Hankey | 137 | 844 | 143373 |
David Stuart | 136 | 1665 | 103759 |
Joachim Heinrich | 136 | 1309 | 76887 |
Carlos M. Duarte | 132 | 1173 | 86672 |
David Smith | 129 | 2184 | 100917 |