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Mendeley readers
Attention Score in Context
Title |
Genome-wide analysis of intracellular pH reveals quantitative control of cell division rate by pHc in Saccharomyces cerevisiae
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Published in |
Genome Biology, September 2012
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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
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.