Institution
University College London
Education•London, United Kingdom•
About: University College London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Poison control. The organization has 81105 authors who have published 210603 publications receiving 9868552 citations. The organization is also known as: UCL & University College, London.
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Max Planck Society1, Yale University2, Space Telescope Science Institute3, Harvard University4, University of Colorado Boulder5, Columbia University6, University of Toronto7, Argonne National Laboratory8, Ohio State University9, European Southern Observatory10, Aix-Marseille University11, ETH Zurich12, California Institute of Technology13, New York University14, Louisiana State University15, Australian National University16, Cornell University17, University College London18, Goddard Space Flight Center19, Leibniz Institute for Astrophysics Potsdam20
TL;DR: Astropy as discussed by the authors is a Python package for astronomy-related functionality, including support for domain-specific file formats such as flexible image transport system (FITS) files, Virtual Observatory (VO) tables, common ASCII table formats, unit and physical quantity conversions, physical constants specific to astronomy, celestial coordinate and time transformations, world coordinate system (WCS) support, generalized containers for representing gridded as well as tabular data, and a framework for cosmological transformations and conversions.
Abstract: We present the first public version (v02) of the open-source and community-developed Python package, Astropy This package provides core astronomy-related functionality to the community, including support for domain-specific file formats such as flexible image transport system (FITS) files, Virtual Observatory (VO) tables, and common ASCII table formats, unit and physical quantity conversions, physical constants specific to astronomy, celestial coordinate and time transformations, world coordinate system (WCS) support, generalized containers for representing gridded as well as tabular data, and a framework for cosmological transformations and conversions Significant functionality is under activedevelopment, such as a model fitting framework, VO client and server tools, and aperture and point spread function (PSF) photometry tools The core development team is actively making additions and enhancements to the current code base, and we encourage anyone interested to participate in the development of future Astropy versions
9,720 citations
TL;DR: In this article, a search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9.
9,282 citations
University of Bristol1, University Hospitals Bristol NHS Foundation Trust2, Monash University3, French Institute of Health and Medical Research4, Paris Descartes University5, Cochrane Collaboration6, St George's, University of London7, University of York8, Queen Mary University of London9, Clinical Trial Service Unit10, Harvard University11, University of Oxford12, University of Southern Denmark13, Odense University Hospital14, University of Alberta15, University of Toronto16, University of Manchester17, Johns Hopkins University18, McGill University19, University College London20
TL;DR: The Cochrane risk-of-bias tool has been updated to respond to developments in understanding how bias arises in randomised trials, and to address user feedback on and limitations of the original tool.
Abstract: Assessment of risk of bias is regarded as an essential component of a systematic review on the effects of an intervention. The most commonly used tool for randomised trials is the Cochrane risk-of-bias tool. We updated the tool to respond to developments in understanding how bias arises in randomised trials, and to address user feedback on and limitations of the original tool.
9,228 citations
TL;DR: The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task and now the council has updated its guidance.
Abstract: Evaluating complex interventions is complicated. The Medical Research Council9s evaluation framework (2000) brought welcome clarity to the task. Now the council has updated its guidance
8,896 citations
University of Amsterdam1, University of Toronto2, Centre Hospitalier Universitaire de Toulouse3, Cleveland Clinic4, Tohoku University5, Charles University in Prague6, University College Dublin7, University of Basel8, Icahn School of Medicine at Mount Sinai9, Lund University10, University College London11, University of California, San Francisco12, Mayo Clinic13, University of Texas Health Science Center at Houston14
TL;DR: These revisions simplify the McDonald Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use.
Abstract: New evidence and consensus has led to further revision of the McDonald Criteria for diagnosis of multiple sclerosis. The use of imaging for demonstration of dissemination of central nervous system lesions in space and time has been simplified, and in some circumstances dissemination in space and time can be established by a single scan. These revisions simplify the Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use.
8,883 citations
Authors
Showing all 82293 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Trevor W. Robbins | 231 | 1137 | 164437 |
| George Davey Smith | 224 | 2540 | 248373 |
| Karl J. Friston | 217 | 1267 | 217169 |
| Robert J. Lefkowitz | 214 | 860 | 147995 |
| Cyrus Cooper | 204 | 1869 | 206782 |
| David Miller | 203 | 2573 | 204840 |
| Mark I. McCarthy | 200 | 1028 | 187898 |
| André G. Uitterlinden | 199 | 1229 | 156747 |
| Raymond J. Dolan | 196 | 919 | 138540 |
| Michael Marmot | 193 | 1147 | 170338 |
| Nicholas G. Martin | 192 | 1770 | 161952 |
| David R. Williams | 178 | 2034 | 138789 |
| John Hardy | 177 | 1178 | 171694 |
| James J. Heckman | 175 | 766 | 156816 |
| Kay-Tee Khaw | 174 | 1389 | 138782 |