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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic identification and quantification of phase variation in commensal and pathogenic Escherichia coli
|
|---|---|
| Published in |
Genome Medicine, November 2014
|
| DOI | 10.1186/s13073-014-0112-4 |
| Pubmed ID | |
| Authors |
Amir Goldberg, Ofer Fridman, Irine Ronin, Nathalie Q Balaban |
| Abstract |
Bacteria have been shown to generate constant genetic variation in a process termed phase variation. We present a tool based on whole genome sequencing that allows detection and quantification of coexisting genotypes mediated by genomic inversions in bacterial cultures. We tested our method on widely used strains of Escherichia coli, and detected stable and reproducible phase variation in several invertible loci. These are shown here to be responsible for maintaining constant variation in populations grown from a single colony. Applying this tool on other bacterial strains can shed light on how pathogens adjust to hostile environments by diversifying their genomes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| Unknown | 69 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 14 | 20% |
| Student > Bachelor | 7 | 10% |
| Other | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 29% |
| Biochemistry, Genetics and Molecular Biology | 19 | 27% |
| Immunology and Microbiology | 6 | 9% |
| Physics and Astronomy | 5 | 7% |
| Medicine and Dentistry | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 November 2014.
All research outputs
#15,311,799
of 22,772,779 outputs
Outputs from Genome Medicine
#1,313
of 1,437 outputs
Outputs of similar age
#214,271
of 361,884 outputs
Outputs of similar age from Genome Medicine
#69
of 73 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 5th percentile – i.e., 5% 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 361,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.