↓ Skip to main content

Scientific Contributions of Population-Based Studies to Cardiovascular Epidemiology in the GWAS Era

Overview of attention for article published in Frontiers in Cardiovascular Medicine, June 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Scientific Contributions of Population-Based Studies to Cardiovascular Epidemiology in the GWAS Era
Published in
Frontiers in Cardiovascular Medicine, June 2018
DOI 10.3389/fcvm.2018.00057
Pubmed ID
Authors

Wolfgang Lieb, Ramachandran S. Vasan

Abstract

Longitudinal, well phenotyped, population-based cohort studies offer unique research opportunities in the context of genome-wide association studies (GWAS), including GWAS for new-onset (incident) cardiovascular disease (CVD) events, the assessment of gene x lifestyle interactions, and evaluating the incremental predictive utility of genetic information in apparently healthy individuals. Furthermore, comprehensively phenotyped community-dwelling samples have contributed to GWAS of numerous traits that reflect normal organ function (e.g., cardiac structure and systolic and diastolic function) and for many traits along the CVD continuum (e.g., risk factors, circulating biomarkers, and subclinical disease traits). These GWAS have heretofore identified many genetic loci implicated in normal organ function and different stages of the CVD continuum. Finally, population-based cohort studies have made important contributions to Mendelian Randomization analyses, a statistical approach that uses genetic information to assess observed associations between cardiovascular traits and clinical CVD outcomes for potential causality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Researcher 4 17%
Student > Bachelor 2 9%
Other 2 9%
Student > Master 2 9%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Agricultural and Biological Sciences 4 17%
Nursing and Health Professions 3 13%
Medicine and Dentistry 3 13%
Psychology 1 4%
Other 2 9%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 June 2018.
All research outputs
#13,037,509
of 23,083,773 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,366
of 6,999 outputs
Outputs of similar age
#157,848
of 329,358 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#26
of 58 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,999 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 79% 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 329,358 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 51% of its contemporaries.
We're also able to compare this research output to 58 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 50% of its contemporaries.