| Title |
Gene Expression Signatures and the Spectrum of Coronary Artery Disease
|
|---|---|
| Published in |
Journal of Cardiovascular Translational Research, June 2015
|
| DOI | 10.1007/s12265-015-9640-6 |
| Pubmed ID | |
| Authors |
Kevin A. Friede, Geoffrey S. Ginsburg, Deepak Voora |
| Abstract |
Over the past 10-15 years, developments in gene expression profiling have opened new arenas for the discovery of important factors in the pathogenesis of numerous disease processes, including coronary artery disease. Messenger RNA and microRNA are differentially expressed in patients with coronary plaques, acute plaque rupture, and response to well-established treatments for acute coronary syndromes. In this review, we will explore recent developments in messenger RNA and microRNA technology at each stage of a patient's progression through the natural history of cardiovascular disease, including evaluation of risk factors, prediction and detection of coronary artery disease and acute coronary syndromes, and finally, response to treatments for coronary artery disease and its sequelae including congestive heart failure. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 14% |
| Austria | 1 | 14% |
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Master | 8 | 22% |
| Student > Ph. D. Student | 4 | 11% |
| Professor > Associate Professor | 3 | 8% |
| Lecturer | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 27% |
| Medicine and Dentistry | 9 | 24% |
| Engineering | 2 | 5% |
| Computer Science | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 August 2015.
All research outputs
#6,371,527
of 22,813,792 outputs
Outputs from Journal of Cardiovascular Translational Research
#162
of 575 outputs
Outputs of similar age
#74,630
of 264,785 outputs
Outputs of similar age from Journal of Cardiovascular Translational Research
#2
of 8 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 575 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% 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 264,785 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 71% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.