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Prediction models for major adverse cardiovascular events after percutaneous coronary intervention: a systematic review

Overview of attention for article published in Frontiers in Cardiovascular Medicine, January 2024
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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8 Mendeley
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Title
Prediction models for major adverse cardiovascular events after percutaneous coronary intervention: a systematic review
Published in
Frontiers in Cardiovascular Medicine, January 2024
DOI 10.3389/fcvm.2023.1287434
Pubmed ID
Authors

Wenqi Deng, Dayang Wang, Yandi Wan, Sijia Lai, Yukun Ding, Xian Wang

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Student > Postgraduate 1 13%
Student > Master 1 13%
Unknown 5 63%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Engineering 1 13%
Unknown 5 63%
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 08 January 2024.
All research outputs
#22,526,003
of 25,128,618 outputs
Outputs from Frontiers in Cardiovascular Medicine
#5,625
of 8,976 outputs
Outputs of similar age
#130,191
of 161,964 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#189
of 209 outputs
Altmetric has tracked 25,128,618 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 8,976 research outputs from this source. They receive a mean Attention Score of 4.4. 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 161,964 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 209 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.