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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

Overview of attention for article published in Cardiovascular Diabetology, January 2021
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Mentioned by

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2 X users

Citations

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35 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study
Published in
Cardiovascular Diabetology, January 2021
DOI 10.1186/s12933-021-01220-x
Pubmed ID
Authors

Andrew Lin, Nathan D. Wong, Aryabod Razipour, Priscilla A. McElhinney, Frederic Commandeur, Sebastien J. Cadet, Heidi Gransar, Xi Chen, Stephanie Cantu, Robert J. H. Miller, Nitesh Nerlekar, Dennis T. L. Wong, Piotr J. Slomka, Alan Rozanski, Balaji K. Tamarappoo, Daniel S. Berman, Damini Dey

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 14%
Student > Ph. D. Student 7 9%
Researcher 4 5%
Student > Bachelor 4 5%
Professor > Associate Professor 3 4%
Other 10 13%
Unknown 39 50%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Nursing and Health Professions 5 6%
Computer Science 3 4%
Engineering 3 4%
Business, Management and Accounting 2 3%
Other 6 8%
Unknown 42 54%
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 02 February 2021.
All research outputs
#15,135,177
of 23,275,636 outputs
Outputs from Cardiovascular Diabetology
#820
of 1,426 outputs
Outputs of similar age
#290,288
of 505,468 outputs
Outputs of similar age from Cardiovascular Diabetology
#26
of 44 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,426 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 39th percentile – i.e., 39% 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 505,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.