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Attention Score in Context
| Title |
Phenotypic and Genotypic Characterization of Klebsiella pneumoniae Isolated From Retail Foods in China
|
|---|---|
| Published in |
Frontiers in Microbiology, March 2018
|
| DOI | 10.3389/fmicb.2018.00289 |
| Pubmed ID | |
| Authors |
Shuhong Zhang, Guangzhu Yang, Qinghua Ye, Qingping Wu, Jumei Zhang, Yuanbin Huang |
| Abstract |
Klebsiella pneumoniae is not only a major hospital-acquired pathogen but also an important food-borne pathogen that can cause septicaemia, liver abscesses, and diarrhea in humans. The phenotypic and genotypic characteristics ofK. pneumoniaein retail foods have not been thoroughly investigated in China. The objective of this study was to characterizeK. pneumoniaeisolates through biotyping, serotyping, determination of virulence factors, antibiotic resistance testing, enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR), and (GTG)5-PCR molecular typing. From May 2013 to April 2014, a total of 61K. pneumoniaeisolates were collected from retail foods in China. Using API 20E test strips, five different biotype profiles were identified among these isolates. The majority of isolates belonged to biochemical profile "5215773" (50 isolates, 80.6%). The capsular serotypes of the 61K. pneumoniaeisolates and one reference strain were determined by PCR. Of the seven capsular serotypes tested, four different capsular serotypes were identified. Serotypes K1, K20, K57, and K2 were detected in two, three, two, and one isolates, respectively. Serotypes K3, K5, and K54 were not detected. The presence of 11 virulence genes was assessed by PCR. The most common virulence genes werefimH(85.5%),ureA(79.0%),wabG(77.4%),uge(56.5%), andkfuBC(29.0%). ERIC-PCR and (GTG)5-PCR molecular typing indicated high genetic diversity amongK. pneumoniaeisolates. We identified 60 different ERIC patterns and 56 distinct (GTG)5patterns. Genotypic results indicated that isolates carrying similar virulence factors were generally genetically related. Some isolates from the same geographic area have a closer relationship. The isolates showed high levels of resistance to ampicillin (51/62, 82.2%). Resistance to streptomycin (11/62, 17.7%) and piperacillin (10/62, 16.1%) was also common. The presence of virulent and antibiotic-resistantK. pneumoniaein foods poses a potential health hazard for consumers. Our findings highlight the importance of surveillance ofK. pneumoniaein foods. |
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 % |
|---|---|---|
| Mexico | 1 | 33% |
| Australia | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 176 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 18% |
| Student > Ph. D. Student | 21 | 12% |
| Student > Bachelor | 18 | 10% |
| Researcher | 12 | 7% |
| Student > Doctoral Student | 7 | 4% |
| Other | 24 | 14% |
| Unknown | 63 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 26 | 15% |
| Agricultural and Biological Sciences | 22 | 13% |
| Biochemistry, Genetics and Molecular Biology | 21 | 12% |
| Veterinary Science and Veterinary Medicine | 10 | 6% |
| Medicine and Dentistry | 7 | 4% |
| Other | 24 | 14% |
| Unknown | 66 | 38% |
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 19 March 2018.
All research outputs
#13,891,874
of 23,028,364 outputs
Outputs from Frontiers in Microbiology
#11,343
of 25,154 outputs
Outputs of similar age
#177,928
of 331,163 outputs
Outputs of similar age from Frontiers in Microbiology
#335
of 598 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,154 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 54% 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 331,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 598 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.