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Toward New Biomarkers of Cardiometabolic Diseases

Overview of attention for article published in Cell Metabolism (Science Direct), June 2013
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3 X users

Citations

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Title
Toward New Biomarkers of Cardiometabolic Diseases
Published in
Cell Metabolism (Science Direct), June 2013
DOI 10.1016/j.cmet.2013.05.009
Pubmed ID
Authors

Lee D. Roberts, Robert E. Gerszten

Abstract

Cardiometabolic diseases can be present long before becoming clinically apparent. Accurate predictors of disease are of particular importance since the delay or prevention of morbidity is possible via pharmacological and behavioral interventions. Metabolomics is increasingly applied to biomarker discovery. Understanding how metabolites relate with established cardiometabolic risk factors is critical in evaluating their potential value as clinical biomarkers. Large epidemiological cohort studies can assess whether metabolite biomarkers improve upon existing disease markers. Furthermore, experimental work in model systems and integration with other functional genomic approaches will facilitate the discovery of causal links between select biomarkers and disease pathogenesis.

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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Italy 1 <1%
Belgium 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 19%
Student > Ph. D. Student 13 12%
Other 9 9%
Professor > Associate Professor 9 9%
Student > Master 9 9%
Other 29 28%
Unknown 16 15%
Readers by discipline Count As %
Medicine and Dentistry 21 20%
Biochemistry, Genetics and Molecular Biology 19 18%
Agricultural and Biological Sciences 16 15%
Chemistry 8 8%
Nursing and Health Professions 3 3%
Other 19 18%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 June 2013.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from Cell Metabolism (Science Direct)
#2,757
of 3,170 outputs
Outputs of similar age
#114,768
of 209,497 outputs
Outputs of similar age from Cell Metabolism (Science Direct)
#37
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 74.0. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 209,497 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.