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Mendeley readers
Attention Score in Context
| Title |
The rate of the molecular clock and the cost of gratuitous protein synthesis
|
|---|---|
| Published in |
Genome Biology, September 2010
|
| DOI | 10.1186/gb-2010-11-9-r98 |
| Pubmed ID | |
| Authors |
Germán Plata, Max E Gottesman, Dennis Vitkup |
| Abstract |
The nature of the protein molecular clock, the protein-specific rate of amino acid substitutions, is among the central questions of molecular evolution. Protein expression level is the dominant determinant of the clock rate in a number of organisms. It has been suggested that highly expressed proteins evolve slowly in all species mainly to maintain robustness to translation errors that generate toxic misfolded proteins. Here we investigate this hypothesis experimentally by comparing the growth rate of Escherichia coli expressing wild type and misfolding-prone variants of the LacZ protein. |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 9% |
| Estonia | 2 | 3% |
| United Kingdom | 2 | 3% |
| Portugal | 1 | 1% |
| Netherlands | 1 | 1% |
| Spain | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 65 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 26% |
| Researcher | 17 | 21% |
| Professor | 7 | 9% |
| Student > Postgraduate | 7 | 9% |
| Professor > Associate Professor | 6 | 8% |
| Other | 12 | 15% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 55% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Computer Science | 3 | 4% |
| Mathematics | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 16 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 January 2011.
All research outputs
#5,398,663
of 25,373,627 outputs
Outputs from Genome Biology
#2,905
of 4,467 outputs
Outputs of similar age
#23,283
of 108,073 outputs
Outputs of similar age from Genome Biology
#19
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 34th percentile – i.e., 34% 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 108,073 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 78% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.