Institution
Emory University
Education•Atlanta, Georgia, United States•
About: Emory University is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 51959 authors who have published 122469 publications receiving 6010698 citations.
Topics: Population, Medicine, Cancer, Health care, Poison control
Papers published on a yearly basis
Papers
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European Institute of Oncology1, Harvard University2, University of Sydney3, Institut Jules Bordet4, Kantonsspital St. Gallen5, University of St. Gallen6, Loyola University Chicago7, Institut Gustave Roussy8, Karolinska Institutet9, University of Bordeaux10, University of Geneva11, University of Pittsburgh12, University of Copenhagen13, University of Newcastle14, Medical University of Vienna15, University of Toronto16, University of Michigan17, Memorial Sloan Kettering Cancer Center18, Mayo Clinic19, Gdańsk Medical University20, University of Gothenburg21, Baylor College of Medicine22, University of North Carolina at Chapel Hill23, Université libre de Bruxelles24, Netherlands Cancer Institute25, Fudan University26, Kyoto University27, King's College London28, University of Göttingen29, Emory University30
TL;DR: The 13th St Gallen International Breast Cancer Conference (2013) Expert Panel reviewed and endorsed substantial new evidence on aspects of the local and regional therapies for early breast cancer, supporting less extensive surgery to the axilla and shorter durations of radiation therapy.
2,831 citations
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TL;DR: This research presents a meta-analysis of 125 cases of central giant cell apoptosis, a type of cell death that is known as a “cell death” and which has been associated with Parkinson’s disease for more than 40 years.
Abstract: Timothy H. Dellit, Robert C. Owens, John E. McGowan, Jr., Dale N. Gerding, Robert A. Weinstein, John P. Burke, W. Charles Huskins, David L. Paterson, Neil O. Fishman, Christopher F. Carpenter, P. J. Brennan, Marianne Billeter, and Thomas M. Hooton Harborview Medical Center and the University of Washington, Seattle; Maine Medical Center, Portland; Emory University, Atlanta, Georgia; Hines Veterans Affairs Hospital and Loyola University Stritch School of Medicine, Hines, and Stroger (Cook County) Hospital and Rush University Medical Center, Chicago, Illinois; University of Utah, Salt Lake City; Mayo Clinic College of Medicine, Rochester, Minnesota; University of Pittsburgh Medical Center, Pittsburgh, and University of Pennsylvania, Philadelphia, Pennsylvania; William Beaumont Hospital, Royal Oak, Michigan; Ochsner Health System, New Orleans, Louisiana; and University of Miami, Miami, Florida
2,831 citations
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TL;DR: It is argued that information technology investments and capabilities influence firm performance through three significant organizational capabilities (agility, digital options, and entrepreneurial alertness) and strategic processes (capability-building, entrepreneurial action, and coevolutionary adaptation).
Abstract: Agility is vital to the innovation and competitive performance of firms in contemporary business environments. Firms are increasingly relying on information technologies, including process, knowledge, and communication technologies, to enhance their agility. The purpose of this paper is to broaden understanding about the strategic role of IT by examining the nomological network of influences through which IT impacts firm performance. By drawing upon recent thinking in the strategy, entrepreneurship, and IT management literatures, this paper uses a multitheoretic lens to argue that information technology investments and capabilities influence firm performance through three significant organizational capabilities (agility, digital options, and entrepreneurial alertness) and strategic processes (capability-building, entrepreneurial action, and coevolutionary adaptation). We also propose that these dynamic capabilities and strategic processes impact the ability of firms to launch many and varied competitive actions and that, in turn, these competitive actions are a significant antecedent of firm performance. Through our theorizing, we draw attention to a significant and reframed role of IT as a digital options generator in contemporary firms.
2,830 citations
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TL;DR: HAIs in hospitals are a significant cause of morbidity and mortality in the United States and the method described for estimating the number of HAIs makes the best use of existing data at the national level.
Abstract: Objective.The purpose of this study was to provide a national estimate of the number of healthcare-associated infections (HAI) and deaths in United States hospitals.Methods.No single source of nationally representative data on HAIs is currently available. The authors used a multi-step approach and three data sources. The main source of data was the National Nosocomial Infections Surveillance (NNIS) system, data from 1990–2002, conducted by the Centers for Disease Control and Prevention. Data from the National Hospital Discharge Survey (for 2002) and the American Hospital Association Survey (for 2000) were used to supplement NNIS data. The percentage of patients with an HAI whose death was determined to be caused or associated with the HAI from NNIS data was used to estimate the number of deaths.Results.In 2002, the estimated number of HAIs in U.S. hospitals, adjusted to include federal facilities, was approximately 1.7 million: 33,269 HAIs among newborns in high-risk nurseries, 19,059 among newborns in we...
2,822 citations
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Rutgers University1, New York University2, University of Oxford3, Harvard University4, Bangor University5, University of Copenhagen6, National Institutes of Health7, Oregon Health & Science University8, Yale University9, Nathan Kline Institute for Psychiatric Research10, Medical College of Wisconsin11, University of Oulu12, Radboud University Nijmegen13, National Yang-Ming University14, Cleveland Clinic15, Duke University16, Max Planck Society17, Emory University18, University of Queensland19, University of Michigan20, Kennedy Krieger Institute21, Washington University in St. Louis22, Technische Universität München23, Leiden University24, University of Texas at Dallas25, Charité26, University of Pittsburgh27, Southeast University28, Otto-von-Guericke University Magdeburg29, Massachusetts Institute of Technology30, University of Western Ontario31, Medical University of Vienna32, Beijing Normal University33
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
Abstract: Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses. Resting-state functional MRI (R-fMRI) constitutes a candidate approach capable of addressing this challenge. Imaging the brain during rest reveals large-amplitude spontaneous low-frequency (<0.1 Hz) fluctuations in the fMRI signal that are temporally correlated across functionally related areas. Referred to as functional connectivity, these correlations yield detailed maps of complex neural systems, collectively constituting an individual's "functional connectome." Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent exploitation to discern genetic influences and brain-behavior relationships, will require multicenter collaborative datasets. Here we initiate this endeavor by gathering R-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants. These results demonstrate that independent R-fMRI datasets can be aggregated and shared. High-throughput R-fMRI can provide quantitative phenotypes for molecular genetic studies and biomarkers of developmental and pathological processes in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/.
2,787 citations
Authors
Showing all 52622 results
Name | H-index | Papers | Citations |
---|---|---|---|
Younan Xia | 216 | 943 | 175757 |
Eric J. Topol | 193 | 1373 | 151025 |
Bernard Rosner | 190 | 1162 | 147661 |
Paul G. Richardson | 183 | 1533 | 155912 |
Peter W.F. Wilson | 181 | 680 | 139852 |
Dennis S. Charney | 179 | 802 | 122408 |
Joseph Biederman | 179 | 1012 | 117440 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
David A. Weitz | 178 | 1038 | 114182 |
Lei Jiang | 170 | 2244 | 135205 |
William J. Sandborn | 162 | 1317 | 108564 |
Stephen J. Elledge | 162 | 406 | 112878 |
Ali H. Mokdad | 156 | 634 | 160599 |
Michael Tomasello | 155 | 797 | 93361 |
Don W. Cleveland | 152 | 444 | 84737 |