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HMG-CoA Reductase Inhibitors in Chronic Kidney Disease

Overview of attention for article published in American Journal of Cardiovascular Drugs, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 444)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

news
2 news outlets
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3 X users

Citations

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4 Dimensions

Readers on

mendeley
28 Mendeley
Title
HMG-CoA Reductase Inhibitors in Chronic Kidney Disease
Published in
American Journal of Cardiovascular Drugs, August 2013
DOI 10.1007/s40256-013-0041-4
Pubmed ID
Authors

A. Olyaei, J. L. Steffl, J. MacLaughlan, M. Trabolsi, S. P. Quadri, I. Abbasi, E. Lerma

Abstract

The incidence of chronic kidney disease (CKD) is on the rise in the USA. Cardiovascular events are the leading cause of death in this patient population, therefore reducing the risk of these events has become a major focus. The aim of this review is to assess current literature on the use of statins in CKD and end-stage renal disease. Cholesterol reduction is important in preventing the development and progression of coronary heart disease and its negative effects. Statins have been widely studied and proven to reduce cardiovascular risk in the general population. The information gained from trials has been extrapolated to special populations, including CKD, despite these patients often being excluded. However, recent studies have begun to focus on CKD, hemodialysis, and transplant patients and the use of cholesterol-lowering agents and the potential association with decreased cardiovascular events. In addition, due to the unique pharmacokinetic and pharmacodynamic changes that occur in these patients, choosing the appropriate cholesterol-lowering agent becomes important for both safety and efficacy. The complexity of CKD patients is an important consideration when choosing cholesterol-lowering medication. Patients with CKD are often on medications that may interact with many of the cholesterol-lowering agents. Ensuring drug interactions are minimized is essential to the prevention of adverse events from the medications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sri Lanka 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Student > Ph. D. Student 4 14%
Researcher 4 14%
Other 2 7%
Student > Postgraduate 2 7%
Other 10 36%
Unknown 1 4%
Readers by discipline Count As %
Medicine and Dentistry 13 46%
Nursing and Health Professions 3 11%
Agricultural and Biological Sciences 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 5 18%
Unknown 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 December 2013.
All research outputs
#1,832,401
of 23,866,543 outputs
Outputs from American Journal of Cardiovascular Drugs
#26
of 444 outputs
Outputs of similar age
#16,347
of 202,274 outputs
Outputs of similar age from American Journal of Cardiovascular Drugs
#1
of 4 outputs
Altmetric has tracked 23,866,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 444 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 94% of its peers.
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 202,274 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them