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Institution

University of Edinburgh

EducationEdinburgh, United Kingdom
About: University of Edinburgh is a(n) education organization based out in Edinburgh, United Kingdom. It is known for research contribution in the topic(s): Population & Galaxy. The organization has 57604 authors who have published 151616 publication(s) receiving 6687334 citation(s). The organization is also known as: Edinburgh University & The University of Edinburgh.

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Topics: Population, Galaxy, Redshift ...read more
Authors

Showing all 57604 results

NameH-indexPapersCitations
Paul M. Ridker2331242245097
David J. Hunter2131836207050
Mark J. Daly204763304452
Robert M. Califf1961561167961
Martin White1962038232387
Michael Marmot1931147170338
Paul M. Thompson1832271146736
Peter W.F. Wilson181680139852
Gonçalo R. Abecasis179595230323
John J.V. McMurray1781389184502
Douglas Scott1781111185229
Michael I. Jordan1761016216204
Hyun-Chul Kim1764076183227
Andrea Bocci1722402176461
Simon Baron-Cohen172773118071
Papers
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Journal ArticleDOI: 10.1016/0028-3932(71)90067-4
R.C. Oldfield1Institutions (1)
01 Mar 1971-Neuropsychologia
Abstract: The need for a simply applied quantitative assessment of handedness is discussed and some previous forms reviewed An inventory of 20 items with a set of instructions and response- and computational-conventions is proposed and the results obtained from a young adult population numbering some 1100 individuals are reported The separate items are examined from the point of view of sex, cultural and socio-economic factors which might appertain to them and also of their inter-relationship to each other and to the measure computed from them all Criteria derived from these considerations are then applied to eliminate 10 of the original 20 items and the results recomputed to provide frequency-distribution and cumulative frequency functions and a revised item-analysis The difference of incidence of handedness between the sexes is discussed

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Topics: Population (52%)

30,901 Citations


Journal ArticleDOI: 10.1016/S0022-2836(75)80083-0
Edwin M. Southern1Institutions (1)
Abstract: This paper describes a method of transferring fragments of DNA from agarose gels to cellulose nitrate filters. The fragments can then be hybridized to radioactive RNA and hybrids detected by radioautography or fluorography. The method is illustrated by analyses of restriction fragments complementary to ribosomal RNAs from Escherichia coli and Xenopus laevis , and from several mammals.

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Topics: Restriction fragment (60%), Gel electrophoresis (58%), Restriction map (53%) ...read more

30,179 Citations


Open accessJournal ArticleDOI: 10.2337/DIACARE.27.5.1047
Sarah H. Wild1, Gojka Roglić, Anders Green, Richard Sicree  +1 moreInstitutions (1)
01 May 2004-Diabetes Care
Abstract: OBJECTIVE —The goal of this study was to estimate the prevalence of diabetes and the number of people of all ages with diabetes for years 2000 and 2030. RESEARCH DESIGN AND METHODS —Data on diabetes prevalence by age and sex from a limited number of countries were extrapolated to all 191 World Health Organization member states and applied to United Nations’ population estimates for 2000 and 2030. Urban and rural populations were considered separately for developing countries. RESULTS —The prevalence of diabetes for all age-groups worldwide was estimated to be 2.8% in 2000 and 4.4% in 2030. The total number of people with diabetes is projected to rise from 171 million in 2000 to 366 million in 2030. The prevalence of diabetes is higher in men than women, but there are more women with diabetes than men. The urban population in developing countries is projected to double between 2000 and 2030. The most important demographic change to diabetes prevalence across the world appears to be the increase in the proportion of people >65 years of age. CONCLUSIONS —These findings indicate that the “diabetes epidemic” will continue even if levels of obesity remain constant. Given the increasing prevalence of obesity, it is likely that these figures provide an underestimate of future diabetes prevalence.

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Topics: Population (54%), Global health (53%), Obesity (50%)

15,897 Citations


Open accessJournal ArticleDOI: 10.1007/S11263-009-0275-4
Mark Everingham1, Luc Van Gool2, Christopher Williams3, John Winn4  +1 moreInstitutions (5)
Abstract: The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object category recognition and detection, providing the vision and machine learning communities with a standard dataset of images and annotation, and standard evaluation procedures. Organised annually from 2005 to present, the challenge and its associated dataset has become accepted as the benchmark for object detection. This paper describes the dataset and evaluation procedure. We review the state-of-the-art in evaluated methods for both classification and detection, analyse whether the methods are statistically different, what they are learning from the images (e.g. the object or its context), and what the methods find easy or confuse. The paper concludes with lessons learnt in the three year history of the challenge, and proposes directions for future improvement and extension.

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11,545 Citations


Journal ArticleDOI: 10.1016/S0304-4076(03)00092-7
Abstract: This paper proposes unit root tests for dynamic heterogeneous panels based on the mean of individual unit root statistics. In particular it proposes a standardized t-bar test statistic based on the (augmented) Dickey–Fuller statistics averaged across the groups. Under a general setting this statistic is shown to converge in probability to a standard normal variate sequentially with T (the time series dimension) →∞, followed by N (the cross sectional dimension) →∞. A diagonal convergence result with T and N→∞ while N/T→k, k being a finite non-negative constant, is also conjectured. In the special case where errors in individual Dickey–Fuller (DF) regressions are serially uncorrelated a modified version of the standardized t-bar statistic is shown to be distributed as standard normal as N→∞ for a fixed T, so long as T>5 in the case of DF regressions with intercepts and T>6 in the case of DF regressions with intercepts and linear time trends. An exact fixed N and T test is also developed using the simple average of the DF statistics. Monte Carlo results show that if a large enough lag order is selected for the underlying ADF regressions, then the small sample performances of the t-bar test is reasonably satisfactory and generally better than the test proposed by Levin and Lin (Unpublished manuscript, University of California, San Diego, 1993).

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Topics: Test statistic (57%), Unit root test (55%), Statistic (52%) ...read more

11,149 Citations


Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2022112
20219,232
20209,100
20198,123
20187,335
20177,421

Top Attributes

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Institution's top 5 most impactful journals

bioRxiv

2K papers, 9K citations

Nature

1.5K papers, 251.2K citations

PLOS ONE

1K papers, 46.3K citations

Social Science Research Network

1K papers, 16.4K citations

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