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American College of Cardiology

Multi-Modality Imaging in the Assessment of Cardiovascular Toxicity in the Cancer Patient

Overview of attention for article published in JACC: Cardiovascular Imaging, August 2018
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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77 X users

Citations

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108 Dimensions

Readers on

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153 Mendeley
Title
Multi-Modality Imaging in the Assessment of Cardiovascular Toxicity in the Cancer Patient
Published in
JACC: Cardiovascular Imaging, August 2018
DOI 10.1016/j.jcmg.2018.06.003
Pubmed ID
Authors

Juan Carlos Plana, Paaladinesh Thavendiranathan, Chiara Bucciarelli-Ducci, Patrizio Lancellotti

Abstract

Cancer therapy can be associated with both cardiac and vascular toxicity. Advanced multi-modality imaging can be used to stratify patient risk, identify cardiovascular injury during and after therapy, and forecast recovery. Echocardiography continues to be the mainstay in the evaluation of cardiac toxicity. Particularly, echocardiography-based strain imaging is useful for risk stratification of patients at baseline, and detection of subclinical left ventricle (LV) dysfunction during therapy. Cardiac magnetic resonance (CMR) serves a complementary role in the patient with poor echocardiographic or equilibrium radionuclide angiographic image quality or in situations where a more accurate and precise LV ejection fraction measurement is needed to inform decisions regarding discontinuation of chemotherapy. New CMR techniques like T1 and T2 mapping and positron emission tomography (PET) imaging will help us better understand the structural, pathological, and metabolic myocardial changes associated with ventricular dysfunction or release of serum biomarkers. CMR may also be helpful in the evaluation of vascular complications of cancer therapy. Stress echocardiography, stress CMR, computed tomography, and PET are excellent imaging options in the evaluation of ischemia in patients receiving therapies that could potentially cause vasospasm or accelerated atherosclerosis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 17%
Other 15 10%
Student > Postgraduate 15 10%
Student > Doctoral Student 15 10%
Student > Ph. D. Student 13 8%
Other 33 22%
Unknown 36 24%
Readers by discipline Count As %
Medicine and Dentistry 74 48%
Agricultural and Biological Sciences 5 3%
Engineering 5 3%
Biochemistry, Genetics and Molecular Biology 4 3%
Psychology 4 3%
Other 12 8%
Unknown 49 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 11 February 2020.
All research outputs
#915,989
of 25,546,214 outputs
Outputs from JACC: Cardiovascular Imaging
#255
of 2,713 outputs
Outputs of similar age
#19,301
of 342,311 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#8
of 57 outputs
Altmetric has tracked 25,546,214 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,713 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done particularly well, scoring higher than 90% 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 342,311 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 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.