Institution
Uppsala University
Education•Uppsala, Sweden•
About: Uppsala University is a education organization based out in Uppsala, Sweden. It is known for research contribution in the topics: Population & Gene. The organization has 36485 authors who have published 107509 publications receiving 4220668 citations. The organization is also known as: Uppsala universitet & uu.se.
Topics: Population, Gene, Context (language use), Thin film, Receptor
Papers published on a yearly basis
Papers
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Johns Hopkins University1, The George Institute for Global Health2, National University of Singapore3, University of California, San Diego4, University of Alabama at Birmingham5, University of Southampton6, Dokkyo Medical University7, German Cancer Research Center8, San Francisco VA Medical Center9, University of Calgary10, Queen Elizabeth Hospital Birmingham11, Utrecht University12, University of Tsukuba13, Nagoya University14, University Medical Center Groningen15, Tufts Medical Center16, University of Oxford17, Dalarna University18, Uppsala University19
TL;DR: In this paper, a meta-analytic approach was used to assess the usefulness of estimated glomerular filtration rate (eGFR) and albuminuria for predicting cardiovascular outcomes.
534 citations
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TL;DR: The structure of cytochrome c oxidase from Rhodobacter sphaeroides has been solved at 2.3/2.8A (anisotropic resolution) and atomic details of a bacterial terminal oxidase including water molecule positions and a potential oxygen pathway are revealed.
533 citations
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UNICEF1, Khon Kaen University2, University of Nairobi3, University of Ibadan4, Makerere University5, Abdou Moumouni University6, Peking University7, Pakistan Institute of Medical Sciences8, Government of Nepal9, Indian Council of Medical Research10, Pokhara University11, Chulalongkorn University12, University of Tokyo13, American University of Beirut14, State University of Campinas15, Institute for Health Metrics and Evaluation16, Inter-American Development Bank17, National Autonomous University of Nicaragua18, Dalhousie University19, University of Adelaide20, Emory University21, Uppsala University22, All India Institute of Medical Sciences23, University of Pretoria24, United States Agency for International Development25
TL;DR: High coverage of essential interventions did not imply reduced maternal mortality in the health-care facilities the authors studied, and the maternal severity index (MSI) had good accuracy for maternal death prediction in women with markers of organ dysfunction.
533 citations
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TL;DR: In Sweden, maternal overweight and obesity during pregnancy were associated with increased risks of preterm delivery, especially extremely preterm Delivery, and these associations should be assessed in other populations.
Abstract: Importance Preterm birth is a leading cause of infant mortality, morbidity, and long-term disability, and these risks increase with decreasing gestational age. Obesity increases the risk of preterm delivery, but the associations between overweight and obesity and subtypes of preterm delivery are not clear. Objective To study the associations between early pregnancy body mass index (BMI) and risk of preterm delivery by gestational age and by precursors of preterm delivery. Design, Setting, and Participants Population-based cohort study of women with live singleton births in Sweden from 1992 through 2010. Maternal and pregnancy characteristics were obtained from the nationwide Swedish Medical Birth Register. Main Outcomes and Measures Risks of preterm deliveries (extremely, 22-27 weeks; very, 28-31 weeks; and moderately, 32-36 weeks). These outcomes were further characterized as spontaneous (related to preterm contractions or preterm premature rupture of membranes) and medically indicated preterm delivery (cesarean delivery before onset of labor or induced onset of labor). Risk estimates were adjusted for maternal age, parity, smoking, education, height, mother's country of birth, and year of delivery. Results Among 1 599 551 deliveries with information on early pregnancy BMI, 3082 were extremely preterm, 6893 were very preterm, and 67 059 were moderately preterm. Risks of extremely, very, and moderately preterm deliveries increased with BMI and the overweight and obesity-related risks were highest for extremely preterm delivery. Among normal-weight women (BMI 18.5- Conclusions and Relevance In Sweden, maternal overweight and obesity during pregnancy were associated with increased risks of preterm delivery, especially extremely preterm delivery. These associations should be assessed in other populations.
532 citations
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Charles University in Prague1, Google2, University of Trento3, National Institute of Information and Communications Technology4, University of Barcelona5, Polytechnic University of Catalonia6, New York University7, Uppsala University8, University of Stuttgart9, Stanford University10, Brandeis University11, Saarland University12
TL;DR: This shared task combines the shared tasks of the previous five years under a unique dependency-based formalism similar to the 2008 task and describes how the data sets were created and show their quantitative properties.
Abstract: For the 11th straight year, the Conference on Computational Natural Language Learning has been accompanied by a shared task whose purpose is to promote natural language processing applications and evaluate them in a standard setting. In 2009, the shared task was dedicated to the joint parsing of syntactic and semantic dependencies in multiple languages. This shared task combines the shared tasks of the previous five years under a unique dependency-based formalism similar to the 2008 task. In this paper, we define the shared task, describe how the data sets were created and show their quantitative properties, report the results and summarize the approaches of the participating systems.
531 citations
Authors
Showing all 36854 results
Name | H-index | Papers | Citations |
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Zhong Lin Wang | 245 | 2529 | 259003 |
Lewis C. Cantley | 196 | 748 | 169037 |
Darien Wood | 160 | 2174 | 136596 |
Kaj Blennow | 160 | 1845 | 116237 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Tomas Hökfelt | 158 | 1033 | 95979 |
Peter G. Schultz | 156 | 893 | 89716 |
Frederik Barkhof | 154 | 1449 | 104982 |
Deepak L. Bhatt | 149 | 1973 | 114652 |
Svante Pääbo | 147 | 407 | 84489 |
Jan-Åke Gustafsson | 147 | 1058 | 98804 |
Hans-Olov Adami | 145 | 908 | 83473 |
Hermann Kolanoski | 145 | 1279 | 96152 |
Kjell Fuxe | 142 | 1479 | 89846 |
Jan Conrad | 141 | 826 | 71445 |