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Temporal Controls of the Asymmetric Cell Division Cycle in Caulobacter crescentus

Overview of attention for article published in PLoS Computational Biology, August 2009
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
80 Mendeley
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2 CiteULike
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Title
Temporal Controls of the Asymmetric Cell Division Cycle in Caulobacter crescentus
Published in
PLoS Computational Biology, August 2009
DOI 10.1371/journal.pcbi.1000463
Pubmed ID
Authors

Shenghua Li, Paul Brazhnik, Bruno Sobral, John J. Tyson

Abstract

The asymmetric cell division cycle of Caulobacter crescentus is orchestrated by an elaborate gene-protein regulatory network, centered on three major control proteins, DnaA, GcrA and CtrA. The regulatory network is cast into a quantitative computational model to investigate in a systematic fashion how these three proteins control the relevant genetic, biochemical and physiological properties of proliferating bacteria. Different controls for both swarmer and stalked cell cycles are represented in the mathematical scheme. The model is validated against observed phenotypes of wild-type cells and relevant mutants, and it predicts the phenotypes of novel mutants and of known mutants under novel experimental conditions. Because the cell cycle control proteins of Caulobacter are conserved across many species of alpha-proteobacteria, the model we are proposing here may be applicable to other genera of importance to agriculture and medicine (e.g., Rhizobium, Brucella).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 1 1%
New Zealand 1 1%
Germany 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Researcher 16 20%
Student > Master 9 11%
Student > Bachelor 8 10%
Student > Postgraduate 6 8%
Other 15 19%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 39%
Biochemistry, Genetics and Molecular Biology 15 19%
Immunology and Microbiology 5 6%
Computer Science 3 4%
Medicine and Dentistry 3 4%
Other 12 15%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 September 2022.
All research outputs
#7,355,485
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#4,994
of 8,960 outputs
Outputs of similar age
#37,524
of 123,905 outputs
Outputs of similar age from PLoS Computational Biology
#23
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 43rd percentile – i.e., 43% 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 123,905 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 51 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 50% of its contemporaries.