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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systems Medicine as an Emerging Tool for Cardiovascular Genetics
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, August 2016
|
| DOI | 10.3389/fcvm.2016.00027 |
| Pubmed ID | |
| Authors |
Tina Haase, Daniela Börnigen, Christian Müller, Tanja Zeller |
| Abstract |
Cardiovascular disease (CVD) is a major contributor to morbidity and mortality worldwide. However, the pathogenesis of CVD is complex and remains elusive. Within the last years, systems medicine has emerged as a novel tool to study the complex genetic, molecular, and physiological interactions leading to diseases. In this review, we provide an overview about the current approaches for systems medicine in CVD. They include bioinformatical and experimental tools such as cell and animal models, omics technologies, network, and pathway analyses. Additionally, we discuss challenges and current literature examples where systems medicine has been successfully applied for the study of CVD. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 4 | 50% |
| Sweden | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Computer Science | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Engineering | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 September 2016.
All research outputs
#6,442,211
of 22,884,315 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,004
of 6,799 outputs
Outputs of similar age
#101,277
of 336,882 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#6
of 17 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,799 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 85% 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 336,882 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 68% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.