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Usefulness of apical area index to predict left ventricular thrombus in patients with systolic dysfunction: a novel index from cardiac magnetic resonance

Overview of attention for article published in BMC Cardiovascular Disorders, January 2019
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

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17 Mendeley
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Title
Usefulness of apical area index to predict left ventricular thrombus in patients with systolic dysfunction: a novel index from cardiac magnetic resonance
Published in
BMC Cardiovascular Disorders, January 2019
DOI 10.1186/s12872-018-0988-9
Pubmed ID
Authors

Yodying Kaolawanich, Thananya Boonyasirinant

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Other 2 12%
Researcher 2 12%
Professor 1 6%
Lecturer 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline Count As %
Medicine and Dentistry 9 53%
Veterinary Science and Veterinary Medicine 1 6%
Computer Science 1 6%
Engineering 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 January 2019.
All research outputs
#20,568,245
of 23,144,579 outputs
Outputs from BMC Cardiovascular Disorders
#1,356
of 1,655 outputs
Outputs of similar age
#371,132
of 437,192 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#25
of 30 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,655 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 437,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.