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Neural-network classification of cardiac disease from 31P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, August 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

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9 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Neural-network classification of cardiac disease from 31P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism
Published in
Critical Reviews in Diagnostic Imaging, August 2019
DOI 10.1186/s12968-019-0560-5
Pubmed ID
Authors

Meiyappan Solaiyappan, Robert G. Weiss, Paul A. Bottomley

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Bachelor 6 14%
Other 3 7%
Researcher 3 7%
Student > Master 2 5%
Other 4 9%
Unknown 17 39%
Readers by discipline Count As %
Medicine and Dentistry 12 27%
Computer Science 7 16%
Engineering 5 11%
Earth and Planetary Sciences 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 May 2020.
All research outputs
#7,426,535
of 25,711,518 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#565
of 1,386 outputs
Outputs of similar age
#122,889
of 355,679 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#15
of 26 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 58% 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 355,679 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 65% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.