Institution
University of Virginia
Education•Charlottesville, Virginia, United States•
About: University of Virginia is a education organization based out in Charlottesville, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52543 authors who have published 113268 publications receiving 5220506 citations. The organization is also known as: U of V & UVa.
Topics: Population, Poison control, Galaxy, Context (language use), Medicine
Papers published on a yearly basis
Papers
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University of Southern California1, United States Department of Veterans Affairs2, University of California, San Francisco3, Washington University in St. Louis4, Children's Memorial Hospital5, University of Kentucky6, Saint Louis University7, Mayo Clinic8, Indiana University – Purdue University Indianapolis9, University of California, Los Angeles10, University of Virginia11
2,609 citations
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TL;DR: An integrated research model is developed that distinguishes beliefs and attitudes about the system from beliefs about using the system to build the theoretical logic that links the user satisfaction and technology acceptance literature.
Abstract: In general, perceptions of information systems (IS) success have been investigated within two primary research streams--the user satisfaction literature and the technology acceptance literature. These two approaches have been developed in parallel and have not been reconciled or integrated. This paper develops an integrated research model that distinguishes beliefs and attitudes about the system (i.e., object-based beliefs and attitudes) from beliefs and attitudes about using the system (i.e., behavioral beliefs and attitudes) to build the theoretical logic that links the user satisfaction and technology acceptance literature. The model is then tested using a sample of 465 users from seven different organizations who completed a survey regarding their use of data warehousing software. The proposed model was supported, providing preliminary evidence that the two perspectives can and should be integrated. The integrated model helps build the bridge from design and implementation decisions to system characteristics (a core strength of the user satisfaction literature) to the prediction of usage (a core strength of the technology acceptance literature).
2,601 citations
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Cristen J. Willer1, Ellen M. Schmidt1, Sebanti Sengupta1, Gina M. Peloso2 +316 more•Institutions (87)
TL;DR: It is found that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index.
Abstract: Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 × 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.
2,585 citations
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French Institute of Health and Medical Research1, Pierre-and-Marie-Curie University2, University of British Columbia3, UBC Hospital4, Beta5, Sahlgrenska University Hospital6, University of Virginia7, McGill University8, Brigham and Women's Hospital9, Washington University in St. Louis10, Vita-Salute San Raffaele University11, University College London12, University of Antwerp13, University of Geneva14, University of California, San Diego15, University of Kentucky16, Karolinska University Hospital17, university of lille18, University of California, San Francisco19, University of Nice Sophia Antipolis20, Brown University21, University of Paris22, Universidade Federal de Minas Gerais23, Maastricht University Medical Centre24, University of Southern California25, NewYork–Presbyterian Hospital26, VU University Amsterdam27, Lou Ruvo Brain Institute28
TL;DR: It is proposed that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease.
Abstract: In the past 8 years, both the International Working Group (IWG) and the US National Institute on Aging-Alzheimer's Association have contributed criteria for the diagnosis of Alzheimer's disease (AD) that better define clinical phenotypes and integrate biomarkers into the diagnostic process, covering the full staging of the disease. This Position Paper considers the strengths and limitations of the IWG research diagnostic criteria and proposes advances to improve the diagnostic framework. On the basis of these refinements, the diagnosis of AD can be simplified, requiring the presence of an appropriate clinical AD phenotype (typical or atypical) and a pathophysiological biomarker consistent with the presence of Alzheimer's pathology. We propose that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease. This paper also elaborates on the specific diagnostic criteria for atypical forms of AD, for mixed AD, and for the preclinical states of AD.
2,581 citations
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TL;DR: In this paper, a Monte Carlo sampler (The Joker) is used to perform a search for companions to 96,231 red-giant stars observed in the APOGEE survey (DR14) with $ ≥ 3$ spectroscopic epochs.
Abstract: Multi-epoch radial velocity measurements of stars can be used to identify stellar, sub-stellar, and planetary-mass companions. Even a small number of observation epochs can be informative about companions, though there can be multiple qualitatively different orbital solutions that fit the data. We have custom-built a Monte Carlo sampler (The Joker) that delivers reliable (and often highly multi-modal) posterior samplings for companion orbital parameters given sparse radial-velocity data. Here we use The Joker to perform a search for companions to 96,231 red-giant stars observed in the APOGEE survey (DR14) with $\\geq 3$ spectroscopic epochs. We select stars with probable companions by making a cut on our posterior belief about the amplitude of the stellar radial-velocity variation induced by the orbit. We provide (1) a catalog of 320 companions for which the stellar companion properties can be confidently determined, (2) a catalog of 4,898 stars that likely have companions, but would require more observations to uniquely determine the orbital properties, and (3) posterior samplings for the full orbital parameters for all stars in the parent sample. We show the characteristics of systems with confidently determined companion properties and highlight interesting systems with candidate compact object companions.
2,564 citations
Authors
Showing all 53083 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joan Massagué | 189 | 408 | 149951 |
Michael Rutter | 188 | 676 | 151592 |
Gordon B. Mills | 187 | 1273 | 186451 |
Ralph Weissleder | 184 | 1160 | 142508 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Jie Zhang | 178 | 4857 | 221720 |
John R. Yates | 177 | 1036 | 129029 |
John A. Rogers | 177 | 1341 | 127390 |
Bradley Cox | 169 | 2150 | 156200 |
Mika Kivimäki | 166 | 1515 | 141468 |
Hongfang Liu | 166 | 2356 | 156290 |
Carl W. Cotman | 165 | 809 | 105323 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Elio Riboli | 158 | 1136 | 110499 |
Dan R. Littman | 157 | 426 | 107164 |