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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
7 patents

Readers on

mendeley
49 Mendeley
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Article details
Title
Pharmacogenetic interactions between angiotensin-converting enzyme inhibitor therapy and the angiotensin-converting enzyme deletion polymorphism in patients with congestive heart failure
Published in
JACC, November 2004
DOI 10.1016/j.jacc.2004.08.048
Pubmed ID
Authors
Abstract

We evaluated the interaction of angiotensin-converting enzyme (ACE) inhibitor therapy with the effect of the ACE D/I polymorphism on heart failure survival. The ACE deletion allele, ACE-D, is associated with increased ACE activity. The utilization of ACE genotyping to predict the impact of ACE inhibitor dose has not been previously evaluated. We prospectively studied 479 subjects with systolic dysfunction (left ventricular ejection fraction 0.25 +/- 0.08). Subjects were divided on the basis of ACE inhibitor therapy into low dose (<or=50% of target dose, n = 227), standard (high) dose (>50%, n = 201), or those receiving angiotensin receptor antagonists (n = 51). Patients were genotyped for the ACE D/I polymorphism, followed to the end point of death or cardiac transplantation, and transplant-free survival compared by genotype. The ACE-D allele was associated with an increased risk of events (p = 0.026). In analysis by ACE inhibitor dose, this effect was primarily in the low-dose group (1-year percent event-free survival: II/ID/DD = 86/77/71,2-year = 79/66/59, p = 0.032). In the standard-dose group, the impact was markedly diminished (1-year: II/ID/DD = 91/81/80, 2-year: 77/70/71, p = 0.64). The impact of beta-blockers and high dose ACE inhibitors was greatest in subjects with the ACE DD genotype (p = 0.001) and was less apparent with the II and ID genotypes (p = 0.38). Higher doses of ACE inhibitors diminished the impact of the ACE-D allele, and the benefits of beta-blockers and high-dose ACE inhibitors appeared maximal for DD patients. Determination of ACE genotype may help target therapy for patients with heart failure.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
New Zealand 1 2%
Iran, Islamic Republic of 1 2%
Hungary 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 8 16%
Student > Master 6 12%
Student > Bachelor 5 10%
Professor > Associate Professor 3 6%
Other 7 14%
Unknown 9 18%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 16 33%
Pharmacology, Toxicology and Pharmaceutical Science 6 12%
Agricultural and Biological Sciences 6 12%
Biochemistry, Genetics and Molecular Biology 4 8%
Engineering 3 6%
Other 5 10%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2023.
All research outputs
#7,591,076
of 34,410,315 outputs
Outputs from JACC
#11,939
of 22,478 outputs
Outputs of similar age
#23,063
of 105,353 outputs
Outputs of similar age from JACC
#54
of 104 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 22,478 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 105,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.