Institution
Keele University
Education•Newcastle-under-Lyme, United Kingdom•
About: Keele University is a education organization based out in Newcastle-under-Lyme, United Kingdom. It is known for research contribution in the topics: Population & Stars. The organization has 11318 authors who have published 26323 publications receiving 894671 citations. The organization is also known as: Keele University.
Topics: Population, Stars, Health care, Context (language use), Politics
Papers published on a yearly basis
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Eindhoven University of Technology1, National Scientific and Technical Research Council2, Max Planck Society3, University of Groningen4, Flinders University5, University of Oxford6, Illinois Institute of Technology7, Nottingham Trent University8, Bielefeld University9, University of Nevada, Las Vegas10, University of Wisconsin-Madison11, Missouri State University12, University of Arkansas13, Leiden University14, Katholieke Universiteit Leuven15, Linnaeus University16, Tzu Chi University17, University of British Columbia18, University of Cambridge19, University of Edinburgh20, Bangor University21, University of Glasgow22, Linköping University23, Florida State University24, Yale University25, University of Louisiana at Lafayette26, University of Texas at Austin27, St. Edward's University28, West Virginia University29, Rutgers University30, Indiana University31, RWTH Aachen University32, Keele University33, University of Tübingen34, Radboud University Nijmegen35, University of Chester36, New York University37, University of Nottingham38, Erasmus University Rotterdam39, University of Bristol40, Sahlgrenska University Hospital41, Adam Mickiewicz University in Poznań42, University of Connecticut43, Charité44, Humboldt University of Berlin45, University of Fribourg46, University of Kent47, Academy of Sciences of the Czech Republic48, RAND Corporation49, Baylor University50, Virginia Tech51, Northern Illinois University52, Open University53, King's College London54, Stanford University55, Stockholm University56, Karolinska Institutet57, Universidade Federal de Santa Catarina58, University of Tromsø59, DePaul University60, Boğaziçi University61, University of Cologne62, King Abdulaziz City for Science and Technology63, University of Leeds64, Center for Open Science65, University of Virginia66, National Institutes of Health67, University of Southern Indiana68, Autonomous University of Madrid69, Utrecht University70, Tilburg University71, Massey University72, Saint Louis University73, University of California, Davis74, Ghent University75
TL;DR: In response to recommendations to redefine statistical significance to P ≤ 0.005, it is proposed that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
Abstract: In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
296 citations
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TL;DR: Despite the recommendations of national and international regulatory agencies, exclusion of older individuals from ongoing trials regarding heart failure continues to be widespread.
Abstract: Methods: In the context of the Increasing the PaRticipation of the ElDerly in Clinical Trials (PREDICT) study, data from ongoing clinical trials regarding heart failure were extracted from the World Health Organization Clinical Trials Registry Platform on December 1, 2008. Main outcome measures were the proportion of trials excluding patients by an arbitrary upper age limit or by other exclusion criteria that might indirectly cause limited recruitment of older individuals. We classified exclusion criteria into 2 categories: justified or poorly justified. Results: Among 251 trials investigating treatments for heart failure, 64 (25.5%) excluded patients by an arbitrary upper age limit. Such exclusion was significantly more common in trials conducted in the European Union than in the United States (31/96 [32.3%] vs 17/105 [16.2%];P=.007) and in drug trials sponsored by public institutions vs those by private entities (21/59 [35.6%] vs 5/36 [13.9%];P=.02). Overall, 109 trials (43.4%) on heart failure had 1 or more poorly justified exclusion criteria that could limit the inclusion of older individuals. A similar proportion of clinical trials with poorly justified exclusion criteria was found in pharmacologic and nonpharmacologic trials. Conclusion: Despite the recommendations of national and international regulatory agencies, exclusion of older individuals from ongoing trials regarding heart failure continues to be widespread.
295 citations
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TL;DR: A rational theory of these phenomena should be based on the theoretical concept of reversible work of adhesion and on the measured quantity of adhesive energy, which includes the extra energy required to restructure the interface as surfaces move.
Abstract: There is a difference between adhesion at the molecular level and adhesion in engineering. There is no doubt that molecules of solid materials stick together and can be separated mechanically. The problem is explaining the connection between molecular attractions and mechanical measurements. False ideas such as keying and gluing require critical assessment because they confuse molecules and mechanics. Mechanisms such as adhesive hysteresis, stringing, and clustering deserve evaluation. A rational theory of these phenomena should be based on the theoretical concept of reversible work of adhesion and on the measured quantity of adhesive energy, which includes the extra energy required to restructure the interface as surfaces move.
295 citations
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TL;DR: Some of the most frequently used techniques aimed at ensuring quality and value in qualitative research, such as sampling, triangulation, multiple coding, respondent validation and the use of audit trails are examined, as well as addressing reflexivity.
Abstract: In the current climate of evidence-based practice, physiotherapy is urged to prove its worth via rigorous scientific research. However, there are concerns that limited methodologies are used to explore complex therapeutic issues, and that the profession relies too heavily on quantitative research studies to provide its evidence base. Qualitative research methods are able to explore the complexity of human behaviour and generate deeper understanding of illness behaviours and therapeutic interactions. Nevertheless, there is still a sense of distrust of qualitative research, related to the challenge of evaluating both the quality and usefulness of findings derived through qualitative methods. This discussion paper explores these issues. It examines some of the most frequently used techniques aimed at ensuring quality and value in qualitative research, such as sampling, triangulation, multiple coding, respondent validation and the use of audit trails, as well as addressing reflexivity. Because of the pluralistic and interactive nature of qualitative inquiry, the criteria used to judge quality need to be appropriate to each piece of research and should provide evidence to help readers to evaluate the calibre of the study and its relevance to their own area of work.
295 citations
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UK Astronomy Technology Centre1, University of Edinburgh2, University of Amsterdam3, Utrecht University4, University of La Laguna5, Spanish National Research Council6, European Southern Observatory7, University of Exeter8, Armagh Observatory9, Harvard University10, University of Vienna11, University of Bonn12, Open University13, University of Chile14, University of Sheffield15, Space Telescope Science Institute16, Queen's University Belfast17, University of Cambridge18, University College London19, Bulgarian Academy of Sciences20, University of South Wales21, Keele University22
TL;DR: The VLT-FLAMES Tarantula Survey (VFTS) as discussed by the authors is an ESO Large Programme that has obtained multi-epoch optical spectroscopy of over 800 massive stars in the 30 Doradus region of the Large Magellanic Cloud (LMC).
Abstract: The VLT-FLAMES Tarantula Survey (VFTS) is an ESO Large Programme that has obtained multi-epoch optical spectroscopy of over 800 massive stars in the 30 Doradus region of the Large Magellanic Cloud (LMC). Here we introduce our scientific motivations and give an overview of the survey targets, including optical and near-infrared photometry and comprehensive details of the data reduction. One of the principal objectives was to detect massive binary systems via variations in their radial velocities, thus shaping the multi-epoch observing strategy. Spectral classifications are given for the massive emission-line stars observed by the survey, including the discovery of a new Wolf-Rayet star (VFTS 682, classified as WN5h), 2' to the northeast of R136. To illustrate the diversity of objects encompassed by the survey, we investigate the spectral properties of sixteen targets identified by Gruendl & Chu from Spitzer photometry as candidate young stellar objects or stars with notable mid-infrared excesses. Detailed spectral classification and quantitative analysis of the O- and B-type stars in the VFTS sample, paying particular attention to the effects of rotational mixing and binarity, will be presented in a series of future articles to address fundamental questions in both stellar and cluster evolution.
294 citations
Authors
Showing all 11402 results
Name | H-index | Papers | Citations |
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George Davey Smith | 224 | 2540 | 248373 |
Simon D. M. White | 189 | 795 | 231645 |
James F. Wilson | 146 | 677 | 101883 |
Stephen O'Rahilly | 138 | 520 | 75686 |
Wendy Taylor | 131 | 1252 | 89457 |
Nicola Maffulli | 115 | 1570 | 59548 |
Georg Kresse | 111 | 430 | 244729 |
Patrick B. Hall | 111 | 470 | 68383 |
Peter T. Katzmarzyk | 110 | 618 | 56484 |
John F. Dovidio | 109 | 466 | 46982 |
Elizabeth H. Blackburn | 108 | 344 | 50726 |
Mary L. Phillips | 105 | 422 | 39995 |
Garry P. Nolan | 104 | 474 | 46025 |
Wayne W. Hancock | 103 | 505 | 35694 |
Mohamed H. Sayegh | 103 | 485 | 38540 |