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Oscillatory Dynamics of Cell Cycle Proteins in Single Yeast Cells Analyzed by Imaging Cytometry

Overview of attention for article published in PLOS ONE, October 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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84 Mendeley
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Title
Oscillatory Dynamics of Cell Cycle Proteins in Single Yeast Cells Analyzed by Imaging Cytometry
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0026272
Pubmed ID
Authors

David A. Ball, Julie Marchand, Magaly Poulet, William T. Baumann, Katherine C. Chen, John J. Tyson, Jean Peccoud

Abstract

Progression through the cell division cycle is orchestrated by a complex network of interacting genes and proteins. Some of these proteins are known to fluctuate periodically during the cell cycle, but a systematic study of the fluctuations of a broad sample of cell-cycle proteins has not been made until now. Using time-lapse fluorescence microscopy, we profiled 16 strains of budding yeast, each containing GFP fused to a single gene involved in cell cycle regulation. The dynamics of protein abundance and localization were characterized by extracting the amplitude, period, and other indicators from a series of images. Oscillations of protein abundance could clearly be identified for Cdc15, Clb2, Cln1, Cln2, Mcm1, Net1, Sic1, and Whi5. The period of oscillation of the fluorescently tagged proteins is generally in good agreement with the inter-bud time. The very strong oscillations of Net1 and Mcm1 expression are remarkable since little is known about the temporal expression of these genes. By collecting data from large samples of single cells, we quantified some aspects of cell-to-cell variability due presumably to intrinsic and extrinsic noise affecting the cell cycle.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
China 1 1%
Germany 1 1%
Unknown 81 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 32%
Researcher 17 20%
Student > Master 12 14%
Student > Bachelor 9 11%
Professor 8 10%
Other 9 11%
Unknown 2 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 50%
Biochemistry, Genetics and Molecular Biology 21 25%
Engineering 3 4%
Mathematics 2 2%
Chemical Engineering 2 2%
Other 8 10%
Unknown 6 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 April 2013.
All research outputs
#4,348,430
of 24,742,536 outputs
Outputs from PLOS ONE
#51,859
of 214,156 outputs
Outputs of similar age
#23,130
of 144,800 outputs
Outputs of similar age from PLOS ONE
#541
of 2,618 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 214,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 65% 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 144,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2,618 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.