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American College of Cardiology

Article Metrics

The CardioMetabolic Health Alliance

Overview of attention for article published in Journal of the American College of Cardiology (JACC), September 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

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93 Dimensions

Readers on

mendeley
155 Mendeley
Title
The CardioMetabolic Health Alliance
Published in
Journal of the American College of Cardiology (JACC), September 2015
DOI 10.1016/j.jacc.2015.06.1328
Pubmed ID
Authors

Laurence S. Sperling, Jeffrey I. Mechanick, Ian J. Neeland, Cynthia J. Herrick, Jean-Pierre Després, Chiadi E. Ndumele, Krishnaswami Vijayaraghavan, Yehuda Handelsman, Gary A. Puckrein, Maria Rosario G. Araneta, Quie K. Blum, Karen K. Collins, Stephen Cook, Nikhil V. Dhurandhar, Dave L. Dixon, Brent M. Egan, Daphne P. Ferdinand, Lawrence M. Herman, Scott E. Hessen, Terry A. Jacobson, Russell R. Pate, Robert E. Ratner, Eliot A. Brinton, Alan D. Forker, Laura L. Ritzenthaler, Scott M. Grundy

Abstract

The Cardiometabolic Think Tank was convened on June 20, 2014, in Washington, DC, as a "call to action" activity focused on defining new patient care models and approaches to address contemporary issues of cardiometabolic risk and disease. Individual experts representing >20 professional organizations participated in this roundtable discussion. The Think Tank consensus was that the metabolic syndrome (MetS) is a complex pathophysiological state comprised of a cluster of clinically measured and typically unmeasured risk factors, is progressive in its course, and is associated with serious and extensive comorbidity, but tends to be clinically under-recognized. The ideal patient care model for MetS must accurately identify those at risk before MetS develops and must recognize subtypes and stages of MetS to more effectively direct prevention and therapies. This new MetS care model introduces both affirmed and emerging concepts that will require consensus development, validation, and optimization in the future.

Twitter Demographics

The data shown below were collected from the profiles of 22 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Hungary 1 <1%
United States 1 <1%
Unknown 152 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 19%
Student > Ph. D. Student 21 14%
Researcher 19 12%
Student > Bachelor 13 8%
Other 12 8%
Other 46 30%
Unknown 15 10%
Readers by discipline Count As %
Medicine and Dentistry 59 38%
Nursing and Health Professions 21 14%
Biochemistry, Genetics and Molecular Biology 8 5%
Agricultural and Biological Sciences 7 5%
Sports and Recreations 6 4%
Other 30 19%
Unknown 24 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 250. 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 11 December 2019.
All research outputs
#53,825
of 14,122,411 outputs
Outputs from Journal of the American College of Cardiology (JACC)
#156
of 12,153 outputs
Outputs of similar age
#1,279
of 248,307 outputs
Outputs of similar age from Journal of the American College of Cardiology (JACC)
#5
of 224 outputs
Altmetric has tracked 14,122,411 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has done particularly well, scoring higher than 98% 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 248,307 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.