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Infection and Atherosclerosis

Overview of attention for article published in Circulation, July 1999
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
20 X users
facebook
2 Facebook pages

Citations

dimensions_citation
432 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Infection and Atherosclerosis
Published in
Circulation, July 1999
DOI 10.1161/01.cir.100.4.e20
Pubmed ID
Authors

Stephen E. Epstein, Yi Fu Zhou, Jianhui Zhu

Abstract

Although definitive proof of a causal role of infection contributing to atherogenesis is lacking, multiple investigations have demonstrated that infectious agents evoke cellular and molecular changes supportive of such a role. Moreover, both Chlamydia pneumoniae and cytomegalovirus exacerbate lesion development in animal models of atherosclerosis and restenosis. The fact that multiple pathogens have been associated with atherosclerosis implies that many "atherogenic" pathogens exist, and recent data suggest that the risk of atherosclerosis conveyed by infection relates to the number of atherogenic pathogens with which an individual is infected. It also is evident that variability in host susceptibility to the atherogenic effects of pathogens exists; this variability appears to be related at least in part to whether the host can generate an immune response that successfully controls pathogen inflammatory activity and in part to the specific pattern of immune response--humoral or cellular. The latter may relate to host capacity to control pathogen activity and to a pathogen-induced autoimmune component of the atherogenic process. Additional animal and human studies are necessary to further test the validity of the infection/atherosclerosis link and to provide more insight into the mechanisms by which infection may contribute to atherosclerosis, information critical for devising strategies to reduce or eliminate any contribution to atherosclerosis caused by infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Canada 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 8 14%
Student > Postgraduate 6 11%
Student > Bachelor 6 11%
Other 5 9%
Other 16 29%
Unknown 4 7%
Readers by discipline Count As %
Medicine and Dentistry 36 64%
Agricultural and Biological Sciences 8 14%
Biochemistry, Genetics and Molecular Biology 4 7%
Veterinary Science and Veterinary Medicine 1 2%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 02 December 2023.
All research outputs
#1,587,582
of 25,476,463 outputs
Outputs from Circulation
#3,643
of 21,138 outputs
Outputs of similar age
#784
of 34,695 outputs
Outputs of similar age from Circulation
#5
of 136 outputs
Altmetric has tracked 25,476,463 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.4. This one has done well, scoring higher than 82% 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 34,695 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 97% of its contemporaries.
We're also able to compare this research output to 136 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 97% of its contemporaries.