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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intraclonal genome diversity of Pseudomonas aeruginosa clones CHA and TB
|
|---|---|
| Published in |
BMC Genomics, June 2013
|
| DOI | 10.1186/1471-2164-14-416 |
| Pubmed ID | |
| Authors |
Oliver KI Bezuidt, Jens Klockgether, Sylvie Elsen, Ina Attree, Colin F Davenport, Burkhard Tümmler |
| Abstract |
Adaptation of Pseudomonas aeruginosa to different living conditions is accompanied by microevolution resulting in genomic diversity between strains of the same clonal lineage. In order to detect the impact of colonized habitats on P. aeruginosa microevolution we determined the genomic diversity between the highly virulent cystic fibrosis (CF) isolate CHA and two temporally and geographically unrelated clonal variants. The outcome was compared with the intraclonal genome diversity between three more closely related isolates of another clonal complex. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| Sweden | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 63 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 28% |
| Student > Ph. D. Student | 17 | 25% |
| Student > Master | 10 | 15% |
| Professor | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 35% |
| Biochemistry, Genetics and Molecular Biology | 17 | 25% |
| Medicine and Dentistry | 8 | 12% |
| Immunology and Microbiology | 4 | 6% |
| Nursing and Health Professions | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 9 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 June 2013.
All research outputs
#14,171,441
of 22,712,476 outputs
Outputs from BMC Genomics
#5,682
of 10,626 outputs
Outputs of similar age
#111,074
of 196,753 outputs
Outputs of similar age from BMC Genomics
#64
of 117 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 196,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.