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Cell-Size Control and Homeostasis in Bacteria

Overview of attention for article published in Current Biology, December 2014
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
7 news outlets
blogs
4 blogs
twitter
16 X users
patent
1 patent
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
638 Dimensions

Readers on

mendeley
708 Mendeley
citeulike
5 CiteULike
Title
Cell-Size Control and Homeostasis in Bacteria
Published in
Current Biology, December 2014
DOI 10.1016/j.cub.2014.12.009
Pubmed ID
Authors

Sattar Taheri-Araghi, Serena Bradde, John T. Sauls, Norbert S. Hill, Petra Anne Levin, Johan Paulsson, Massimo Vergassola, Suckjoon Jun

Abstract

How cells control their size and maintain size homeostasis is a fundamental open question. Cell-size homeostasis has been discussed in the context of two major paradigms: "sizer," in which the cell actively monitors its size and triggers the cell cycle once it reaches a critical size, and "timer," in which the cell attempts to grow for a specific amount of time before division. These paradigms, in conjunction with the "growth law" [1] and the quantitative bacterial cell-cycle model [2], inspired numerous theoretical models [3-9] and experimental investigations, from growth [10, 11] to cell cycle and size control [12-15]. However, experimental evidence involved difficult-to-verify assumptions or population-averaged data, which allowed different interpretations [1-5, 16-20] or limited conclusions [4-9]. In particular, population-averaged data and correlations are inconclusive as the averaging process masks causal effects at the cellular level. In this work, we extended a microfluidic "mother machine" [21] and monitored hundreds of thousands of Gram-negative Escherichia coli and Gram-positive Bacillus subtilis cells under a wide range of steady-state growth conditions. Our combined experimental results and quantitative analysis demonstrate that cells add a constant volume each generation, irrespective of their newborn sizes, conclusively supporting the so-called constant Δ model. This model was introduced for E. coli [6, 7] and recently revisited [9], but experimental evidence was limited to correlations. This "adder" principle quantitatively explains experimental data at both the population and single-cell levels, including the origin and the hierarchy of variability in the size-control mechanisms and how cells maintain size homeostasis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 708 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
United Kingdom 6 <1%
Germany 5 <1%
Netherlands 2 <1%
Switzerland 2 <1%
France 2 <1%
Israel 2 <1%
Estonia 2 <1%
Spain 2 <1%
Other 5 <1%
Unknown 672 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 233 33%
Researcher 105 15%
Student > Master 82 12%
Student > Bachelor 66 9%
Professor 34 5%
Other 89 13%
Unknown 99 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 195 28%
Biochemistry, Genetics and Molecular Biology 171 24%
Physics and Astronomy 85 12%
Engineering 27 4%
Immunology and Microbiology 27 4%
Other 76 11%
Unknown 127 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 February 2023.
All research outputs
#442,580
of 25,374,647 outputs
Outputs from Current Biology
#1,717
of 14,676 outputs
Outputs of similar age
#5,199
of 359,929 outputs
Outputs of similar age from Current Biology
#30
of 190 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.9. This one has done well, scoring higher than 88% 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 359,929 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 98% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.