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Machine learning assisted reflectance spectral characterisation of coronary thrombi correlates with microvascular injury in patients with ST-segment elevation acute coronary syndrome

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 2022
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Citations

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4 Dimensions

Readers on

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3 Mendeley
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Title
Machine learning assisted reflectance spectral characterisation of coronary thrombi correlates with microvascular injury in patients with ST-segment elevation acute coronary syndrome
Published in
Frontiers in Cardiovascular Medicine, September 2022
DOI 10.3389/fcvm.2022.930015
Pubmed ID
Authors

Rafail A. Kotronias, Kirsty Fielding, Charlotte Greenhalgh, Regent Lee, Mohammad Alkhalil, Federico Marin, Maria Emfietzoglou, Adrian P. Banning, Claire Vallance, Keith M. Channon, Giovanni Luigi De Maria

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Bachelor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 09 October 2022.
All research outputs
#14,682,837
of 23,504,694 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,988
of 7,392 outputs
Outputs of similar age
#204,502
of 436,487 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#227
of 1,034 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,392 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 70% 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 436,487 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 50% of its contemporaries.
We're also able to compare this research output to 1,034 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.