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Mendeley readers
Attention Score in Context
Title |
Characterization of the core and accessory genomes of Pseudomonas aeruginosa using bioinformatic tools Spine and AGEnt
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Published in |
BMC Genomics, August 2014
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DOI | 10.1186/1471-2164-15-737 |
Pubmed ID | |
Authors |
Egon A Ozer, Jonathan P Allen, Alan R Hauser |
Abstract |
Pseudomonas aeruginosa is an important opportunistic pathogen responsible for many infections in hospitalized and immunocompromised patients. Previous reports estimated that approximately 10% of its 6.6 Mbp genome varies from strain to strain and is therefore referred to as "accessory genome". Elements within the accessory genome of P. aeruginosa have been associated with differences in virulence and antibiotic resistance. As whole genome sequencing of bacterial strains becomes more widespread and cost-effective, methods to quickly and reliably identify accessory genomic elements in newly sequenced P. aeruginosa genomes will be needed. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 30% |
China | 1 | 10% |
Australia | 1 | 10% |
Japan | 1 | 10% |
Canada | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 60% |
Members of the public | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
Germany | 3 | 1% |
United Kingdom | 2 | <1% |
Spain | 2 | <1% |
Canada | 1 | <1% |
Netherlands | 1 | <1% |
Colombia | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 248 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 64 | 24% |
Student > Master | 39 | 15% |
Researcher | 31 | 12% |
Student > Bachelor | 31 | 12% |
Student > Doctoral Student | 18 | 7% |
Other | 26 | 10% |
Unknown | 56 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 78 | 29% |
Biochemistry, Genetics and Molecular Biology | 45 | 17% |
Immunology and Microbiology | 36 | 14% |
Medicine and Dentistry | 10 | 4% |
Environmental Science | 5 | 2% |
Other | 28 | 11% |
Unknown | 63 | 24% |
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 02 November 2020.
All research outputs
#4,535,680
of 25,374,917 outputs
Outputs from BMC Genomics
#1,685
of 11,244 outputs
Outputs of similar age
#43,169
of 247,849 outputs
Outputs of similar age from BMC Genomics
#37
of 262 outputs
Altmetric has tracked 25,374,917 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 247,849 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 82% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.