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Hyper-acute cardiovascular magnetic resonance T1 mapping predicts infarct characteristics in patients with ST elevation myocardial infarction

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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18 X users
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1 research highlight platform

Citations

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19 Dimensions

Readers on

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24 Mendeley
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Title
Hyper-acute cardiovascular magnetic resonance T1 mapping predicts infarct characteristics in patients with ST elevation myocardial infarction
Published in
Critical Reviews in Diagnostic Imaging, January 2020
DOI 10.1186/s12968-019-0593-9
Pubmed ID
Authors

Mohammad Alkhalil, Alessandra Borlotti, Giovanni Luigi De Maria, Mathias Wolfrum, Sam Dawkins, Gregor Fahrni, Lisa Gaughran, Oxford Acute Myocardial Infarction Study, Jeremy P. Langrish, Andrew Lucking, Vanessa M. Ferreira, Rajesh K. Kharbanda, Adrian P. Banning, Erica Dall'Armellina, Keith M. Channon, Robin P. Choudhury

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Lecturer 3 13%
Other 3 13%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 6 25%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 12 50%
Computer Science 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Energy 1 4%
Other 1 4%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 10 March 2020.
All research outputs
#3,381,448
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#184
of 1,386 outputs
Outputs of similar age
#78,641
of 479,479 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#4
of 23 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 7.3. This one has done well, scoring higher than 86% 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 479,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.