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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antimicrobial Resistance of Shigella flexneri Serotype 1b Isolates in China
|
|---|---|
| Published in |
PLOS ONE, June 2015
|
| DOI | 10.1371/journal.pone.0129009 |
| Pubmed ID | |
| Authors |
Xianyan Cui, Chaojie Yang, Jian Wang, Beibei Liang, Shengjie Yi, Hao Li, Hongbo Liu, Peng Li, Zhihao Wu, Jing Xie, Leili Jia, Rongzhang Hao, Ligui Wang, Yuejin Hua, Shaofu Qiu, Hongbin Song |
| Abstract |
Shigella flexneri serotype 1b is among the most prominent serotypes in developing countries, followed by serotype 2a. However, only limited data is available on the global phenotypic and genotypic characteristics of S. flexneri 1b. In the present study, 40 S. flexneri 1b isolates from different regions of China were confirmed by serotyping and biochemical characterization. Antimicrobial susceptibility testing showed that 85% of these isolates were multidrug-resistant strains and antibiotic susceptibility profiles varied between geographical locations. Strains from Yunnan were far more resistant than those from Xinjiang, while only one strain from Shanghai was resistant to ceftazidime and aztreonam. Fifteen cephalosporin resistant isolates were identified in this study. ESBL genes (blaSHV, blaTEM, blaOXA, and blaCTX-M) and ampC genes (blaMOX, blaFOX, blaMIR(ACT-1), blaDHA, blaCIT and blaACC) were subsequently detected among the 15 isolates. The results showed that these strains were positive only for blaTEM, blaOXA, blaCTX-M, intI1, and intI2. Furthermore, pulsed-field gel electrophoresis (PFGE) analysis showed that the 40 isolates formed different profiles, and the PFGE patterns of Xinjiang isolates were distinct from Yunnan and Shanghai isolates by one obvious, large, missing band. In summary, similarities in resistance patterns were observed in strains with the same PFGE pattern. Overall, the results supported the need for more prudent selection and use of antibiotics in China. We suggest that antibiotic susceptibility testing should be performed at the start of an outbreak, and antibiotic use should be restricted to severe Shigella cases, based on resistance pattern variations observed in different regions. The data obtained in the current study might help to develop a strategy for the treatment of infections caused by S. flexneri 1b in China. |
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 % |
|---|---|---|
| Kenya | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 5 | 11% |
| Other | 4 | 9% |
| Student > Master | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 19 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 14% |
| Agricultural and Biological Sciences | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Medicine and Dentistry | 4 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 16 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2016.
All research outputs
#12,633,542
of 22,808,725 outputs
Outputs from PLOS ONE
#97,901
of 194,660 outputs
Outputs of similar age
#115,374
of 267,100 outputs
Outputs of similar age from PLOS ONE
#2,886
of 6,831 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 267,100 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 6,831 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 57% of its contemporaries.