Institution
University of Calgary
Education•Calgary, Alberta, Canada•
About: University of Calgary is a education organization based out in Calgary, Alberta, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 44284 authors who have published 104970 publications receiving 3669161 citations. The organization is also known as: U of C & UCalgary.
Papers published on a yearly basis
Papers
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TL;DR: The nucleotide sequence of the 1.9-kb PstI fragment from pRO1614, that allows stable maintenance of pMB1 (ColE1)-based cloning vectors in Pseudomonas, was determined and encodes a putative origin of replication, a replication-controlling protein, and the C terminus of the Tn3 beta-lactamase-encoding gene.
584 citations
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Thomas W. Winkler1, Anne E. Justice2, Mariaelisa Graff2, Llilda Barata3 +435 more•Institutions (106)
TL;DR: In this paper, the authors performed meta-analyses of 114 studies with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium.
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
584 citations
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TL;DR: The current practices in the information visualization research community are encapsulated and a different approach is provided to reaching decisions about what might be the most effective evaluation of a given information visualization.
Abstract: We take a new, scenario-based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, evaluating visualization algorithms, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios distinguish different study goals and types of research questions and are illustrated through example studies. Through this broad survey and the distillation of these scenarios, we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. Scenarios can be used to choose appropriate research questions and goals and the provided examples can be consulted for guidance on how to design one's own study.
583 citations
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TL;DR: The members of the Tear Film Subcommittee reviewed the role of the tear film in dry eye disease (DED), biophysical and biochemical aspects of tears and how these change in DED and recommended areas for future research.
Abstract: The members of the Tear Film Subcommittee reviewed the role of the tear film in dry eye disease (DED). The Subcommittee reviewed biophysical and biochemical aspects of tears and how these change in DED. Clinically, DED is characterized by loss of tear volume, more rapid breakup of the tear film and increased evaporation of tears from the ocular surface. The tear film is composed of many substances including lipids, proteins, mucins and electrolytes. All of these contribute to the integrity of the tear film but exactly how they interact is still an area of active research. Tear film osmolarity increases in DED. Changes to other components such as proteins and mucins can be used as biomarkers for DED. The Subcommittee recommended areas for future research to advance our understanding of the tear film and how this changes with DED. The final report was written after review by all Subcommittee members and the entire TFOS DEWS II membership.
582 citations
Authors
Showing all 44775 results
Name | H-index | Papers | Citations |
---|---|---|---|
Meir J. Stampfer | 277 | 1414 | 283776 |
Zena Werb | 168 | 473 | 122629 |
William J. Sandborn | 162 | 1317 | 108564 |
Gregg C. Fonarow | 161 | 1676 | 126516 |
David W. Johnson | 160 | 2714 | 140778 |
Jerome I. Rotter | 156 | 1071 | 116296 |
Carl Nathan | 135 | 430 | 91535 |
Severine Vermeire | 134 | 1086 | 76352 |
Ian Ford | 134 | 678 | 85769 |
Jeffery D. Molkentin | 131 | 482 | 61594 |
Joseph P. Broderick | 130 | 504 | 72779 |
Shuai Liu | 129 | 1095 | 80823 |
Marcello Tonelli | 128 | 701 | 115576 |
Gary C. Curhan | 128 | 435 | 55348 |
James C. Paulson | 126 | 443 | 52152 |