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Genome-wide analysis of intracellular pH reveals quantitative control of cell division rate by pHc in Saccharomyces cerevisiae

Overview of attention for article published in Genome Biology, September 2012
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

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1 X user
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1 patent
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1 research highlight platform

Citations

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127 Dimensions

Readers on

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224 Mendeley
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2 CiteULike
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Title
Genome-wide analysis of intracellular pH reveals quantitative control of cell division rate by pHc in Saccharomyces cerevisiae
Published in
Genome Biology, September 2012
DOI 10.1186/gb-2012-13-9-r80
Pubmed ID
Authors

Rick Orij, Malene L Urbanus, Franco J Vizeacoumar, Guri Giaever, Charles Boone, Corey Nislow, Stanley Brul, Gertien J Smits

Abstract

Because protonation affects the properties of almost all molecules in cells, cytosolic pH (pH(c)) is usually assumed to be constant. In the model organism yeast, however, pH(c) changes in response to the presence of nutrients and varies during growth. Since small changes in pH(c) can lead to major changes in metabolism, signal transduction, and phenotype, we decided to analyze pH(c) control.

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

Geographical breakdown

Country Count As %
Portugal 2 <1%
Sweden 2 <1%
Unknown 220 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 24%
Researcher 46 21%
Student > Master 24 11%
Student > Bachelor 21 9%
Professor > Associate Professor 11 5%
Other 34 15%
Unknown 34 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 43%
Biochemistry, Genetics and Molecular Biology 47 21%
Chemistry 8 4%
Engineering 8 4%
Immunology and Microbiology 4 2%
Other 18 8%
Unknown 43 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 April 2018.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from Genome Biology
#3,232
of 4,467 outputs
Outputs of similar age
#51,625
of 190,797 outputs
Outputs of similar age from Genome Biology
#39
of 55 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% 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 190,797 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 72% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.