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Mendeley readers
Attention Score in Context
| Title |
Transcriptional Repression of Atherogenic Inflammation: Modulation by PPARδ
|
|---|---|
| Published in |
Science, September 2003
|
| DOI | 10.1126/science.1087344 |
| Pubmed ID | |
| Authors |
Chih-Hao Lee, Ajay Chawla, Ned Urbiztondo, Debbie Liao, William A Boisvert, Ronald M Evans, Linda K Curtiss |
| Abstract |
The formation of an atherosclerotic lesion is mediated by lipid-laden macrophages (foam cells), which also establish chronic inflammation associated with lesion progression. The peroxisome proliferator-activated receptor (PPAR) gamma promotes lipid uptake and efflux in these atherogenic cells. In contrast, we found that the closely related receptor PPARdelta controls the inflammatory status of the macrophage. Deletion of PPARdelta from foam cells increased the availability of inflammatory suppressors, which in turn reduced atherosclerotic lesion area by more than 50%. We propose an unconventional ligand-dependent transcriptional pathway in which PPARdelta controls an inflammatory switch through its association and disassociation with transcriptional repressors. PPARdelta and its ligands may thus serve as therapeutic targets to attenuate inflammation and slow the progression of atherosclerosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 161 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 20% |
| Researcher | 35 | 20% |
| Professor | 20 | 12% |
| Student > Doctoral Student | 15 | 9% |
| Student > Master | 13 | 8% |
| Other | 35 | 20% |
| Unknown | 18 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 35% |
| Biochemistry, Genetics and Molecular Biology | 30 | 18% |
| Medicine and Dentistry | 28 | 16% |
| Immunology and Microbiology | 6 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 14 | 8% |
| Unknown | 27 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 23 August 2022.
All research outputs
#3,799,086
of 25,377,790 outputs
Outputs from Science
#37,367
of 82,914 outputs
Outputs of similar age
#5,616
of 54,029 outputs
Outputs of similar age from Science
#103
of 291 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.7. This one has gotten more attention than average, scoring higher than 52% 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 54,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.