Institution
University of Virginia
Education•Charlottesville, Virginia, United States•
About: University of Virginia is a education organization based out in Charlottesville, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52543 authors who have published 113268 publications receiving 5220506 citations. The organization is also known as: U of V & UVa.
Topics: Population, Poison control, Galaxy, Context (language use), Medicine
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the authors propose four components of a customer's engagement value (CEV) with a firm: customer lifetime value (the customer's purchase behavior), customer referral value (as it relates to incentivized referral of new customers), customer influencer value (which includes the customer's behavior to influence other customers, that is increasing acquisition, retention, and share of wallet through word of mouth of existing customers as well as prospects).
Abstract: Customers can interact with and create value for firms in a variety of ways. This article proposes that assessing the value of customers based solely upon their transactions with a firm may not be sufficient, and valuing this engagement correctly is crucial in avoiding undervaluation and overvaluation of customers. We propose four components of a customer's engagement value (CEV) with a firm. The first component is customer lifetime value (the customer's purchase behavior), the second is customer referral value (as it relates to incentivized referral of new customers), the third is customer influencer value (which includes the customer's behavior to influence other customers, that is increasing acquisition, retention, and share of wallet through word of mouth of existing customers as well as prospects), and the fourth is customer knowledge value (the value added to the firm by feedback from the customer). CEV provides a comprehensive framework that can ultimately lead to more efficient marketing strategies that enable higher long-term contribution from the customer. Metrics to measure CEV, future research propositions regarding relationships between the four components of CEV are proposed and marketing strategies that can leverage these relationships suggested.
1,106 citations
••
TL;DR: It is suggested that two appraisals are central and are present in all clear cases of awe: perceived vastness, and a need for accommodation, defined as an inability to assimilate an experience into current mental structures.
Abstract: In this paper we present a prototype approach to awe. We suggest that two appraisals are central and are present in all clear cases of awe: perceived vastness, and a need for accommodation, defined as an inability to assimilate an experience into current mental structures. Five additional appraisals account for variation in the hedonic tone of awe experiences: threat, beauty, exceptional ability, virtue, and the supernatural. We derive this perspective from a review of what has been written about awe in religion, philosophy, sociology, and psychology, and then we apply this perspective to an analysis of awe and related states such as admiration, elevation, and the epiphanic experience.
1,105 citations
••
University of North Carolina at Chapel Hill1, University of Texas Health Science Center at Houston2, University of Pavia3, University of Cambridge4, University of Milan5, Stanford University6, Kaiser Permanente7, National Institutes of Health8, University of Washington9, Wake Forest University10, Cedars-Sinai Medical Center11, Group Health Cooperative12, Lund University13, University of Michigan14, University of Helsinki15, National Institute for Health and Welfare16, Boston University17, University of Chicago18, International Agency for Research on Cancer19, Charles University in Prague20, French Institute of Health and Medical Research21, Institut Gustave Roussy22, University of Padua23, University of Glasgow24, Palacký University, Olomouc25, Trinity College, Dublin26, National and Kapodistrian University of Athens27, Newcastle University28, University of Aberdeen29, University of Turin30, Nofer Institute of Occupational Medicine31, Russian Academy32, University of Exeter33, Harvard University34, Massachusetts Institute of Technology35, Broad Institute36, VU University Amsterdam37, Erasmus University Rotterdam38, University of Virginia39, Virginia Commonwealth University40, University of Pennsylvania41, Duke University42, University of Ioannina43, Tufts University44
TL;DR: A meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium found the strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3, and three loci associated with number of cigarettes smoked per day were identified.
Abstract: Consistent but indirect evidence has implicated genetic factors in smoking behavior1,2. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], b = 1.03, standard error (s.e.) = 0.053, beta = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], b = 0.367, s. e. = 0.059, beta = 5.7 x 10(-10); and rs1028936[A], b = 0.446, s. e. = 0.074, beta = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], b = 0.333, s. e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.
1,104 citations
••
TL;DR: In this article, the effect of mergers on the wealth of bidding firms' shareholders was examined, and the results suggest that the inconclusive findings of the earlier studies may be due to methodological deficiencies.
1,102 citations
••
TL;DR: It is likely that this autosomal recessive mutation is the cause of the pancreatic agenesis phenotype in this patient, and IPF1 appears to be a critical regulator of pancreas development in humans as well as mice.
Abstract: The homeodomain protein IPF1 (also known as IDX1, STF1 and PDX1; see Methods) is critical for development of the pancreas in mice and is a key factor for the regulation of the insulin gene in the beta-cells of the endocrine pancreas. Targeted disruption of the Ipf1 gene encoding IPF1 in transgenic mice results in a failure of the pancreas to develop (pancreatic agenesis). Here, we report the identification of a single nucleotide deletion within codon 63 of the human IPF1 gene (13q12.1) in a patient with pancreatic agenesis. The patient is homozygous for the point deletion, whereas both parents are heterozygotes for the same mutation. The deletion was not found in 184 chromosomes from normal individuals, indicating that the mutation is unlikely to be a rare polymorphism. The point deletion causes a frame shift at the C-terminal border of the transactivation domain of IPF1 resulting in the translation of 59 novel codons before termination, aminoproximal to the homeodomain essential for DNA binding. Expression of mutant IPF1 in Cos-1 cells confirms the expression of a prematurely terminated truncated protein of 16 kD. Thus, the affected patient should have no functional IPF1 protein. Given the essential role of IPF1 in pancreas development, it is likely that this autosomal recessive mutation is the cause of the pancreatic agenesis phenotype in this patient. Thus, IPF1 appears to be a critical regulator of pancreas development in humans as well as mice.
1,101 citations
Authors
Showing all 53083 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joan Massagué | 189 | 408 | 149951 |
Michael Rutter | 188 | 676 | 151592 |
Gordon B. Mills | 187 | 1273 | 186451 |
Ralph Weissleder | 184 | 1160 | 142508 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Jie Zhang | 178 | 4857 | 221720 |
John R. Yates | 177 | 1036 | 129029 |
John A. Rogers | 177 | 1341 | 127390 |
Bradley Cox | 169 | 2150 | 156200 |
Mika Kivimäki | 166 | 1515 | 141468 |
Hongfang Liu | 166 | 2356 | 156290 |
Carl W. Cotman | 165 | 809 | 105323 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Elio Riboli | 158 | 1136 | 110499 |
Dan R. Littman | 157 | 426 | 107164 |