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Overview of attention for article published in Cardiovascular Diabetology, January 2002
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,217)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
52 tweeters
facebook
1 Facebook page
video
1 video uploader

Citations

dimensions_citation
333 Dimensions

Readers on

mendeley
330 Mendeley
connotea
1 Connotea
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Title
Published in
Cardiovascular Diabetology, January 2002
DOI 10.1186/1475-2840-1-1
Pubmed ID
Authors

Doron Aronson, Elliot J Rayfield

Abstract

Both type I and type II diabetes are powerful and independent risk factors for coronary artery disease (CAD), stroke, and peripheral arterial disease. Atherosclerosis accounts for virtually 80% of all deaths among diabetic patients. Prolonged exposure to hyperglycemia is now recognized a major factor in the pathogenesis of atherosclerosis in diabetes. Hyperglycemia induces a large number of alterations at the cellular level of vascular tissue that potentially accelerate the atherosclerotic process. Animal and human studies have elucidated three major mechanisms that encompass most of the pathological alterations observed in the diabetic vasculature: 1) Nonenzymatic glycosylation of proteins and lipids which can interfere with their normal function by disrupting molecular conformation, alter enzymatic activity, reduce degradative capacity, and interfere with receptor recognition. In addition, glycosylated proteins interact with a specific receptor present on all cells relevant to the atherosclerotic process, including monocyte-derived macrophages, endothelial cells, and smooth muscle cells. The interaction of glycosylated proteins with their receptor results in the induction of oxidative stress and proinflammatory responses 2) oxidative stress 3) protein kinase C (PKC) activation with subsequent alteration in growth factor expression. Importantly, these mechanisms may be interrelated. For example, hyperglycemia-induced oxidative stress promotes both the formation of advanced glycosylation end products and PKC activation.

Twitter Demographics

The data shown below were collected from the profiles of 52 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Brazil 2 <1%
Indonesia 1 <1%
Italy 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Unknown 322 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 56 17%
Student > Master 55 17%
Student > Ph. D. Student 49 15%
Researcher 30 9%
Student > Doctoral Student 25 8%
Other 68 21%
Unknown 47 14%
Readers by discipline Count As %
Medicine and Dentistry 107 32%
Agricultural and Biological Sciences 55 17%
Biochemistry, Genetics and Molecular Biology 36 11%
Pharmacology, Toxicology and Pharmaceutical Science 13 4%
Engineering 12 4%
Other 51 15%
Unknown 56 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 17 July 2021.
All research outputs
#961,615
of 21,245,798 outputs
Outputs from Cardiovascular Diabetology
#39
of 1,217 outputs
Outputs of similar age
#12,980
of 253,998 outputs
Outputs of similar age from Cardiovascular Diabetology
#1
of 61 outputs
Altmetric has tracked 21,245,798 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,217 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 253,998 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 61 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 99% of its contemporaries.