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Peripheral blood gene expression profiling for cardiovascular disease assessment

Overview of attention for article published in The HUGO Journal, February 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

patent
6 patents

Citations

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93 Dimensions

Readers on

mendeley
64 Mendeley
Title
Peripheral blood gene expression profiling for cardiovascular disease assessment
Published in
The HUGO Journal, February 2008
DOI 10.1007/s11568-008-9017-x
Pubmed ID
Authors

Hamza Aziz, Aimee Zaas, Geoffrey S. Ginsburg

Abstract

Whole blood gene expression profiling has the potential to be informative about dynamic changes in disease states and to provide information on underlying disease mechanisms. Having demonstrated proof of concept in animal models, a number of studies have now tried to tackle the complexity of cardiovascular disease in human hosts to develop better diagnostic and prognostic indicators. These studies show that genomic signatures are capable of classifying patients with cardiovascular diseases into finer categories based on the molecular architecture of a patient's disease and more accurately predict the likelihood of a cardiovascular event than current techniques. To highlight the spectrum of potential applications of whole blood gene expression profiling approach in cardiovascular science, we have chosen to review the findings in a number of complex cardiovascular diseases such as atherosclerosis, hypertension and myocardial infarction as well as thromboembolism, aortic aneurysm, and heart transplant.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Ireland 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 13 20%
Other 7 11%
Student > Master 6 9%
Student > Bachelor 5 8%
Other 10 16%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 31%
Biochemistry, Genetics and Molecular Biology 14 22%
Medicine and Dentistry 9 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 November 2021.
All research outputs
#3,798,287
of 25,373,627 outputs
Outputs from The HUGO Journal
#6
of 31 outputs
Outputs of similar age
#11,712
of 95,095 outputs
Outputs of similar age from The HUGO Journal
#1
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 25 of them.
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 95,095 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 2 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