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Acetyl-coenzyme A carboxylase: crucial metabolic enzyme and attractive target for drug discovery

Overview of attention for article published in Cellular and Molecular Life Sciences, June 2005
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 X users
patent
19 patents
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
385 Dimensions

Readers on

mendeley
336 Mendeley
citeulike
2 CiteULike
Title
Acetyl-coenzyme A carboxylase: crucial metabolic enzyme and attractive target for drug discovery
Published in
Cellular and Molecular Life Sciences, June 2005
DOI 10.1007/s00018-005-5121-4
Pubmed ID
Authors

L. Tong

Abstract

Acetyl-coenzyme A carboxylases (ACCs) have crucial roles in fatty acid metabolism in most living organisms. Mice deficient in ACC2 have continuous fatty acid oxidation and reduced body fat and body weight, validating this enzyme as a target for drug development against obesity, diabetes and other symptoms of the metabolic syndrome. ACC is a biotin-dependent enzyme and catalyzes the carboxylation of acetyl-CoA to produce malonyl-CoA through its two catalytic activities, biotin carboxylase (BC) and carboxyltransferase (CT). ACC is a multi-subunit enzyme in most prokaryotes, whereas it is a large, multi-domain enzyme in most eukaryotes. The activity of the enzyme can be controlled at the transcriptional level as well as by small molecule modulators and covalent modification. This review will summarize the structural information that is now available for both the BC and CT enzymes, as well as the molecular mechanism of action of potent ACC inhibitors. The current intense research on these enzymes could lead to the development of novel therapies against metabolic syndrome and other diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Germany 1 <1%
Brazil 1 <1%
France 1 <1%
Portugal 1 <1%
Mexico 1 <1%
Canada 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 323 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 21%
Student > Bachelor 55 16%
Researcher 49 15%
Student > Master 37 11%
Student > Doctoral Student 17 5%
Other 46 14%
Unknown 60 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 116 35%
Biochemistry, Genetics and Molecular Biology 72 21%
Chemistry 27 8%
Medicine and Dentistry 13 4%
Pharmacology, Toxicology and Pharmaceutical Science 11 3%
Other 26 8%
Unknown 71 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 28 December 2023.
All research outputs
#1,092,054
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#88
of 4,151 outputs
Outputs of similar age
#1,346
of 57,624 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#1
of 29 outputs
Altmetric has tracked 23,794,258 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 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% 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 57,624 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 29 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 96% of its contemporaries.