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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Effect of Colistin Resistance-Associated Mutations on the Fitness of Acinetobacter baumannii
|
|---|---|
| Published in |
Frontiers in Microbiology, November 2016
|
| DOI | 10.3389/fmicb.2016.01715 |
| Pubmed ID | |
| Authors |
Xinli Mu, Nanfei Wang, Xi Li, Keren Shi, Zhihui Zhou, Yunsong Yu, Xiaoting Hua |
| Abstract |
Acinetobacter baumannii had emerged as an important nosocomial and opportunistic pathogen worldwide. To assess the evolution of colistin resistance in A. baumannii and its effect on bacterial fitness, we exposed five independent colonies of A. baumannii ATCC 17978 to increasing concentrations of colistin in agar (4/5) and liquid media (1/5). Stable resistant isolates were analyzed using whole genome sequencing. All strains were colistin resistant after exposure to colistin. In addition to the previously reported lpxCAD and pmrAB mutations, we identified four novel putative colistin resistance genes: A1S_1983. hepA. A1S_3026, and rsfS. Lipopolysaccharide (LPS) loss mutants exhibited higher fitness costs than those of the pmrB mutant in nutrient-rich medium. The colistin-resistant mutants had a higher inhibition ratio in the serum growth experiment than that of the wild type strain in 100% serum. Minimum inhibitory concentration (MIC) results showed that the LPS-deficient but not the pmrB mutant had an altered antibiotic resistance profile. The compensatory mutations partially or completely rescued the LPS-deficient's fitness, suggesting that compensatory mutations play an important role in the emergence and spread of colistin resistance in A. baumannii. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Bachelor | 6 | 12% |
| Student > Master | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 11 | 22% |
| Agricultural and Biological Sciences | 8 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Medicine and Dentistry | 6 | 12% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 16 | 31% |
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 20 November 2016.
All research outputs
#13,995,422
of 22,896,955 outputs
Outputs from Frontiers in Microbiology
#11,461
of 24,948 outputs
Outputs of similar age
#171,406
of 311,687 outputs
Outputs of similar age from Frontiers in Microbiology
#222
of 418 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 50% 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 311,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 418 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.