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Machine learning models for predicting the risk factor of carotid plaque in cardiovascular disease

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 2023
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  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Machine learning models for predicting the risk factor of carotid plaque in cardiovascular disease
Published in
Frontiers in Cardiovascular Medicine, September 2023
DOI 10.3389/fcvm.2023.1178782
Pubmed ID
Authors

Chengling Bin, Qin Li, Jing Tang, Chaorong Dai, Ting Jiang, Xiufang Xie, Min Qiu, Lumiao Chen, Shaorong Yang

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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 22 September 2023.
All research outputs
#19,229,513
of 24,486,486 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,429
of 8,443 outputs
Outputs of similar age
#104,131
of 157,982 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#68
of 283 outputs
Altmetric has tracked 24,486,486 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,443 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 52% 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 157,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.