Title |
The Myth of the “Vulnerable Plaque” Transitioning From a Focus on Individual Lesions to Atherosclerotic Disease Burden for Coronary Artery Disease Risk Assessment
|
---|---|
Published in |
JACC, January 2015
|
DOI | 10.1016/j.jacc.2014.11.041 |
Pubmed ID | |
Authors |
Armin Arbab-Zadeh, Valentin Fuster |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 25% |
India | 2 | 6% |
Argentina | 2 | 6% |
Finland | 1 | 3% |
United Kingdom | 1 | 3% |
Canada | 1 | 3% |
Comoros | 1 | 3% |
Unknown | 16 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 63% |
Practitioners (doctors, other healthcare professionals) | 6 | 19% |
Scientists | 5 | 16% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
United Kingdom | 1 | <1% |
Netherlands | 1 | <1% |
Unknown | 253 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 17% |
Researcher | 40 | 15% |
Student > Master | 24 | 9% |
Student > Bachelor | 23 | 9% |
Other | 21 | 8% |
Other | 58 | 22% |
Unknown | 50 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 121 | 47% |
Engineering | 21 | 8% |
Biochemistry, Genetics and Molecular Biology | 16 | 6% |
Chemistry | 7 | 3% |
Computer Science | 6 | 2% |
Other | 21 | 8% |
Unknown | 67 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 15 April 2024.
All research outputs
#1,429,937
of 25,714,183 outputs
Outputs from JACC
#3,359
of 16,913 outputs
Outputs of similar age
#19,041
of 361,992 outputs
Outputs of similar age from JACC
#36
of 260 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done well, scoring higher than 80% 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 361,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.