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Cell-Size Control and Homeostasis in Bacteria

Overview of attention for article published in Current Biology, February 2015
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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 (83rd percentile)

Mentioned by

7 news outlets
4 blogs
17 tweeters
1 patent
4 Facebook pages
1 Wikipedia page
1 Q&A thread


589 Dimensions

Readers on

702 Mendeley
5 CiteULike
Cell-Size Control and Homeostasis in Bacteria
Published in
Current Biology, February 2015
DOI 10.1016/j.cub.2014.12.009
Pubmed ID

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


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.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 702 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 666 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 229 33%
Researcher 104 15%
Student > Master 82 12%
Student > Bachelor 66 9%
Professor 30 4%
Other 102 15%
Unknown 89 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 193 27%
Biochemistry, Genetics and Molecular Biology 171 24%
Physics and Astronomy 85 12%
Immunology and Microbiology 27 4%
Engineering 25 4%
Other 85 12%
Unknown 116 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 97. 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
of 23,577,654 outputs
Outputs from Current Biology
of 13,946 outputs
Outputs of similar age
of 356,067 outputs
Outputs of similar age from Current Biology
of 225 outputs
Altmetric has tracked 23,577,654 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 13,946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 58.9. 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 356,067 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 225 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.