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Institution

Research Triangle Park

NonprofitDurham, North Carolina, United States
About: Research Triangle Park is a nonprofit organization based out in Durham, North Carolina, United States. It is known for research contribution in the topics: Population & Receptor. The organization has 24961 authors who have published 35800 publications receiving 1684504 citations. The organization is also known as: RTP.


Papers
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Journal ArticleDOI
TL;DR: Three important uses of descriptive studies include trend analysis, health-care planning, and hypothesis generation, which represent the first scientific toe in the water in new areas of inquiry.

507 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used meta-analysis to test a database of 432 soil C response ratios drawn from temperate forest harvest studies around the world, and found that C concentrations and C pool sizes responded differently to harvesting, and forest floors were more likely to lose C than mineral soils.

504 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a case for greater awareness of solvent and solvent-reactant interactions, separability, and particle engineering in a typical retrosynthetic analysis, in which the best means in which a reaction can take place is not considered; i.e., the reaction space, configuration, order of addition, heat/mass transfer, etc., is generally not considered.

502 citations

Journal ArticleDOI
TL;DR: The architectural elements of Web services are related to a real-world business scenario in order to illustrate how the Web services approach helps solve real business problems.
Abstract: This paper introduces the major components of, and standards associated with, the Web services architecture. The different roles associated with the Web services architecture and the programming stack for Web services are described. The architectural elements of Web services are then related to a real-world business scenario in order to illustrate how the Web services approach helps solve real business problems.

502 citations

Journal ArticleDOI
TL;DR: The Dallas Heart Study provides a phenotypically well-characterized probability sample for multidisciplinary research that will be used to improve the mechanistic understanding and prevention of cardiovascular disease, especially in black Americans.
Abstract: The decrease in cardiovascular death rates in the United States has been slower in blacks than whites, especially in patients <65 years of age. The Dallas Heart Study was designed as a single-site, multiethnic, population-based probability sample to (1) produce unbiased population estimates of biologic and social variables that pinpoint ethnic differences in cardiovascular health at the community level and (2) support hypothesis-driven research on the mechanisms causing these differences using genetics, advanced imaging modalities, social sciences, and clinical research center methods. A probability-based sample of Dallas County residents aged 18 to 65 years was surveyed with an extensive household health interview. The subset of participants 30 to 65 years of age provided in-home fasting blood and urine samples and underwent multiple imaging studies, including cardiac magnetic resonance imaging and electron beam computed tomography. Completed interviews were obtained for 6,101 subjects (54% black), phlebotomy visits for 3,398 (52% black), and clinic visits for 2,971 (50% black). Participation rates were 80.4% for interviews, 75.1% for phlebotomy visits, and 87.4% for clinic visits. Weighted population estimates of many measured variables agreed closely with those of the United States census and were relatively stable from the interview sample to the phlebotomy and clinic subsamples. Thus, the Dallas Heart Study provides a phenotypically well-characterized probability sample for multidisciplinary research that will be used to improve the mechanistic understanding and prevention of cardiovascular disease, especially in black Americans.

502 citations


Authors

Showing all 25006 results

NameH-indexPapersCitations
Douglas G. Altman2531001680344
Lewis C. Cantley196748169037
Ronald Klein1941305149140
Daniel J. Jacob16265676530
Christopher P. Cannon1511118108906
James B. Meigs147574115899
Lawrence Corey14677378105
Jeremy K. Nicholson14177380275
Paul M. Matthews14061788802
Herbert Y. Meltzer137114881371
Charles J. Yeo13667276424
Benjamin F. Cravatt13166661932
Timothy R. Billiar13183866133
Peter Brown12990868853
King K. Holmes12460656192
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202277
2021988
20201,001
20191,035
20181,051