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American College of Cardiology

Vascular Inflammation in Subclinical Atherosclerosis Detected by Hybrid PET/MRI

Overview of attention for article published in JACC, April 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
16 news outlets
twitter
103 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
139 Mendeley
Title
Vascular Inflammation in Subclinical Atherosclerosis Detected by Hybrid PET/MRI
Published in
JACC, April 2019
DOI 10.1016/j.jacc.2018.12.075
Pubmed ID
Authors

Leticia Fernández-Friera, Valentín Fuster, Beatriz López-Melgar, Belén Oliva, Javier Sánchez-González, Angel Macías, Braulio Pérez-Asenjo, Daniel Zamudio, Juan C. Alonso-Farto, Samuel España, José Mendiguren, Héctor Bueno, Jose M. García-Ruiz, Borja Ibañez, Antonio Fernández-Ortiz, Javier Sanz

X Demographics

X Demographics

The data shown below were collected from the profiles of 103 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 17%
Student > Bachelor 15 11%
Student > Doctoral Student 11 8%
Student > Ph. D. Student 10 7%
Professor > Associate Professor 10 7%
Other 33 24%
Unknown 36 26%
Readers by discipline Count As %
Medicine and Dentistry 44 32%
Biochemistry, Genetics and Molecular Biology 13 9%
Nursing and Health Professions 6 4%
Engineering 6 4%
Chemistry 4 3%
Other 22 16%
Unknown 44 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 180. 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 November 2023.
All research outputs
#223,294
of 25,385,509 outputs
Outputs from JACC
#507
of 16,743 outputs
Outputs of similar age
#4,767
of 364,342 outputs
Outputs of similar age from JACC
#18
of 398 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done particularly well, scoring higher than 96% 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 364,342 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 98% of its contemporaries.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.