Institution
Carleton University
Education•Ottawa, Ontario, Canada•
About: Carleton University is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 15852 authors who have published 39650 publications receiving 1106610 citations.
Papers published on a yearly basis
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TL;DR: The purpose of this paper is to provide a comprehensive review of information accumulated over the past 26 years regarding the psychometric properties and utility of the Mini‐Mental State Examination (MMSE).
Abstract: Objective
The purpose of this paper is to provide a comprehensive review of information accumulated over the past 26 years regarding the psychometric properties and utility of the Mini-Mental State Examination (MMSE).
Participants
The reviewed studies assessed a wide variety of subjects, ranging from cognitively intact community residents to those with severe cognitive impairment associated with various types of dementing illnesses.
Main Outcome Measures
The validity of the MMSE was compared against a variety of gold standards, including DSM-III-R and NINCDS-ADRDA criteria, clinical diagnoses, Activities of Daily Living measures, and other tests that putatively identify and measure cognitive impairment.
Results
Reliability and construct validity were judged to be satisfactory. Measures of criterion validity showed high levels of sensitivity for moderate-to-severe cognitive impairment and lower levels for mild degrees of impairment. Content analyses revealed the MMSE was highly verbal, and not all items were equally sensitive to cognitive impairment. Items measuring language were judged to be relatively easy and lacked utility for identifying mild language deficits. Overall, MMSE scores were affected by age, education, and cultural background, but not gender.
Conclusions
In general, the MMSE fulfilled its original goal of providing a brief screening test that quantitatively assesses the severity of cognitive impairment and documents cognitive changes occurring over time. The MMSE should not, by itself, be used as a diagnostic tool to identify dementia. Suggestions for the clinical use of the MMSE are made.
4,469 citations
Tohoku University1, University of Zurich2, Lawrence Berkeley National Laboratory3, Stanford University4, College of William & Mary5, University of Genoa6, University of Urbino7, CERN8, Budker Institute of Nuclear Physics9, University of California, Irvine10, Cornell University11, Argonne National Laboratory12, ETH Zurich13, Tata Institute of Fundamental Research14, Hillsdale College15, Spanish National Research Council16, Ohio State University17, University of Notre Dame18, Kent State University19, University of California, San Diego20, University of California, Berkeley21, University of Minnesota22, University of Alabama23, University of Helsinki24, Los Alamos National Laboratory25, California Institute of Technology26, George Washington University27, Syracuse University28, Lawrence Livermore National Laboratory29, Oklahoma State University–Stillwater30, University of Washington31, Max Planck Society32, Boston University33, University of California, Los Angeles34, Royal Holloway, University of London35, Université Paris-Saclay36, Fermilab37, University of Pennsylvania38, University of Illinois at Urbana–Champaign39, University of Bristol40, University of Tokyo41, University of Delaware42, Carnegie Mellon University43, University of California, Santa Cruz44, Karlsruhe Institute of Technology45, Heidelberg University46, Florida State University47, Carleton University48, University of Mainz49, University of Edinburgh50, Brookhaven National Laboratory51, Durham University52, University of Lausanne53, Massachusetts Institute of Technology54, University of Southampton55, Nagoya University56, University of Oxford57, Northwestern University58, University of British Columbia59, Columbia University60, Lund University61, University of Sheffield62, University of California, Santa Barbara63, Iowa State University64, University of Alberta65, University of Cambridge66
TL;DR: The Particle Data Group's biennial review as mentioned in this paper summarizes much of particle physics, using data from previous editions, plus 2658 new measurements from 644 papers, and lists, evaluates, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons.
Abstract: This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2658 new measurements from 644 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors, probability, and statistics. Among the 112 reviews are many that are new or heavily revised including those on Heavy-Quark and Soft-Collinear Effective Theory, Neutrino Cross Section Measurements, Monte Carlo Event Generators, Lattice QCD, Heavy Quarkonium Spectroscopy, Top Quark, Dark Matter, V-cb & V-ub, Quantum Chromodynamics, High-Energy Collider Parameters, Astrophysical Constants, Cosmological Parameters, and Dark Matter. A booklet is available containing the Summary Tables and abbreviated versions of some of the other sections of this full Review. All tables, listings, and reviews (and errata) are also available on the Particle Data Group website: http://pdg.lbl.gov.
4,465 citations
Book•
27 Apr 1990TL;DR: In this article, the Askey-Wilson q-beta integral and some associated formulas were used to generate bilinear generating functions for basic orthogonal polynomials.
Abstract: Foreword Preface 1. Basic hypergeometric series 2. Summation, transformation, and expansion formulas 3. Additional summation, transformation, and expansion formulas 4. Basic contour integrals 5. Bilateral basic hypergeometric series 6. The Askey-Wilson q-beta integral and some associated formulas 7. Applications to orthogonal polynomials 8. Further applications 9. Linear and bilinear generating functions for basic orthogonal polynomials 10. q-series in two or more variables 11. Elliptic, modular, and theta hypergeometric series Appendices References Author index Subject index Symbol index.
3,622 citations
14 Apr 2006
3,340 citations
New York University1, University of Chicago2, Mackenzie Presbyterian University3, Middlesex University4, Nicolaus Copernicus University in Toruń5, University of Kent6, Harvard University7, Yale University8, Stanford University9, Northwestern University10, University of Sussex11, Utrecht University12, University of California, San Diego13, University of Maryland, College Park14, McGovern Institute for Brain Research15, University of Queensland16, University of Michigan17, California Institute of Technology18, Lehigh University19, University of Regina20, University of Oregon21, Ohio State University22, Massachusetts Institute of Technology23, University of St Andrews24, University of Cambridge25, University of British Columbia26, University of Illinois at Chicago27, University of California, Berkeley28, Carleton University29, VU University Amsterdam30, Cornell University31
TL;DR: Evidence from a selection of research topics relevant to pandemics is discussed, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping.
Abstract: The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic and highlight important gaps researchers should move quickly to fill in the coming weeks and months.
3,223 citations
Authors
Showing all 16102 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| George F. Koob | 171 | 935 | 112521 |
| Zhenwei Yang | 150 | 956 | 109344 |
| Andrew White | 149 | 1494 | 113874 |
| J. S. Keller | 144 | 981 | 98249 |
| R. Kowalewski | 143 | 1815 | 135517 |
| Manuella Vincter | 131 | 944 | 122603 |
| Gabriella Pasztor | 129 | 1401 | 86271 |
| Beate Heinemann | 129 | 1085 | 81947 |
| Claire Shepherd-Themistocleous | 129 | 1211 | 86741 |
| Monica Dunford | 129 | 906 | 77571 |
| Dave Charlton | 128 | 1065 | 81042 |
| Ryszard Stroynowski | 128 | 1320 | 86236 |
| Peter Krieger | 128 | 1171 | 81368 |
| Thomas Koffas | 128 | 942 | 76832 |
| Aranzazu Ruiz-Martinez | 126 | 783 | 71913 |