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Inflammatory processes in cardiovascular disease: a route to targeted therapies

Overview of attention for article published in Nature Reviews Cardiology, December 2016
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
39 X users
patent
2 patents
facebook
9 Facebook pages
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
366 Dimensions

Readers on

mendeley
462 Mendeley
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Title
Inflammatory processes in cardiovascular disease: a route to targeted therapies
Published in
Nature Reviews Cardiology, December 2016
DOI 10.1038/nrcardio.2016.185
Pubmed ID
Authors

Neil Ruparelia, Joshua T. Chai, Edward A. Fisher, Robin P. Choudhury

Abstract

Inflammatory processes are firmly established as central to the development and complications of cardiovascular diseases. Elevated levels of inflammatory markers have been shown to be predictive of future cardiovascular events. The specific targeting of these processes in experimental models has been shown to attenuate myocardial and arterial injury, reduce disease progression, and promote healing. However, the translation of these observations and the demonstration of clear efficacy in clinical practice have been disappointing. A major limitation might be that tools currently used to measure 'inflammation' are insufficiently precise and do not provide information about disease site and activity, or discriminate between functionally important activation pathways. The challenge, therefore, is to make measures of inflammation that are more meaningful, and which can guide specific targeted therapies. In this Review, we consider the roles of inflammatory processes in the related pathologies of atherosclerosis and acute myocardial infarction, by providing an evaluation of the known and emerging inflammatory pathways. We highlight contemporary techniques to characterize and quantify inflammation, and consider how they might be used to guide specific treatments. Finally, we discuss emerging opportunities in the field, including their current limitations and challenges that are the focus of ongoing study.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 462 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Unknown 460 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 15%
Student > Bachelor 56 12%
Student > Master 48 10%
Student > Doctoral Student 44 10%
Researcher 41 9%
Other 75 16%
Unknown 127 27%
Readers by discipline Count As %
Medicine and Dentistry 111 24%
Biochemistry, Genetics and Molecular Biology 63 14%
Agricultural and Biological Sciences 30 6%
Pharmacology, Toxicology and Pharmaceutical Science 24 5%
Nursing and Health Professions 15 3%
Other 71 15%
Unknown 148 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 06 October 2022.
All research outputs
#894,923
of 25,085,910 outputs
Outputs from Nature Reviews Cardiology
#151
of 1,833 outputs
Outputs of similar age
#18,435
of 428,242 outputs
Outputs of similar age from Nature Reviews Cardiology
#6
of 35 outputs
Altmetric has tracked 25,085,910 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 1,833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done particularly well, scoring higher than 91% 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 428,242 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 95% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.