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PPARδ is a very low-density lipoprotein sensor in macrophages

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2003
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Mentioned by

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1 patent

Citations

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262 Dimensions

Readers on

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76 Mendeley
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Title
PPARδ is a very low-density lipoprotein sensor in macrophages
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2003
DOI 10.1073/pnas.0337331100
Pubmed ID
Authors

Ajay Chawla, Chih-Hao Lee, Yaacov Barak, Weimin He, John Rosenfeld, Debbie Liao, Jungyeob Han, Heonjoong Kang, Ronald M. Evans

Abstract

Although triglyceride-rich particles, such as very low-density lipoprotein (VLDL), contribute significantly to human atherogenesis, the molecular basis for lipoprotein-driven pathogenicity is poorly understood. We demonstrate that in macrophages, VLDL functions as a transcriptional regulator via the activation of the nuclear receptor peroxisome proliferator-activated receptor delta. The signaling components of native VLDL are its triglycerides, whose activity is enhanced by lipoprotein lipase. Generation of peroxisome proliferator-activated receptor delta null macrophages verifies the absolute requirement of this transcription factor in mediating the VLDL response. Thus, our data reveal a pathway through which dietary triglycerides and VLDL can directly regulate gene expression in atherosclerotic lesions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 1 1%
United Kingdom 1 1%
Canada 1 1%
Unknown 71 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 13 17%
Professor 8 11%
Student > Bachelor 7 9%
Professor > Associate Professor 7 9%
Other 18 24%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 41%
Medicine and Dentistry 14 18%
Biochemistry, Genetics and Molecular Biology 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 November 2010.
All research outputs
#8,219,054
of 24,622,191 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#64,491
of 101,438 outputs
Outputs of similar age
#33,345
of 134,449 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#298
of 505 outputs
Altmetric has tracked 24,622,191 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 134,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 505 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.