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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 (82nd percentile)

Mentioned by

6 news outlets
4 blogs
18 tweeters
4 Facebook pages
1 Wikipedia page
1 video uploader

Readers on

321 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 18 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 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
United Kingdom 9 3%
Germany 6 2%
France 3 <1%
Estonia 2 <1%
Israel 2 <1%
Netherlands 2 <1%
India 2 <1%
Spain 2 <1%
Other 7 2%
Unknown 273 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 132 41%
Researcher 69 21%
Student > Master 38 12%
Student > Bachelor 24 7%
Professor 15 5%
Other 43 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 160 50%
Biochemistry, Genetics and Molecular Biology 49 15%
Physics and Astronomy 48 15%
Engineering 15 5%
Computer Science 9 3%
Other 40 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 05 October 2017.
All research outputs
of 8,508,684 outputs
Outputs from Current Biology
of 7,098 outputs
Outputs of similar age
of 244,562 outputs
Outputs of similar age from Current Biology
of 139 outputs
Altmetric has tracked 8,508,684 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 7,098 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one has done particularly well, scoring higher than 91% 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 244,562 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 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.