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X Demographics
Mendeley readers
Attention Score in Context
| Title |
O-antigen and Virulence Profiling of Shiga Toxin-Producing Escherichia coli by a Rapid and Cost–Effective DNA Microarray Colorimetric Method
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, January 2012
|
| DOI | 10.3389/fcimb.2012.00061 |
| Pubmed ID | |
| Authors |
Beatriz Quiñones, Michelle S. Swimley, Koh-Eun Narm, Ronak N. Patel, Michael B. Cooley, Robert E. Mandrell |
| Abstract |
Shiga toxin-producing Escherichia coli (STEC) is a leading cause of foodborne illness worldwide. The present study developed the use of DNA microarrays with the ampliPHOX colorimetric method to rapidly detect and genotype STEC strains. A low-density 30-mer oligonucleotide DNA microarray was designed to target O-antigen gene clusters of 11 E. coli serogroups (O26, O45, O91, O103, O104, O111, O113, O121, O128, O145, and O157) that have been associated with the majority of STEC infections. In addition, the DNA microarray targeted 11 virulence genes, encoding adhesins, cytotoxins, proteases, and receptor proteins, which have been implicated in conferring increased ability to cause disease for STEC. Results from the validation experiments demonstrated that this microarray-based colorimetric method allowed for a rapid and accurate genotyping of STEC reference strains from environmental and clinical sources and from distinct geographical locations. Positive hybridization signals were detected only for probes targeting serotype and virulence genes known to be present in the STEC reference strains. Quantification analysis indicated that the mean pixel intensities of the signal for probes targeting O-antigen or virulence genes were at least three times higher when compared to the background. Furthermore, this microarray-based colorimetric method was then employed to genotype a group of E. coli isolates from watershed sediment and animal fecal samples that were collected from an important region for leafy-vegetable production in the central coast of California. The results indicated an accurate identification of O-type and virulence genes in the tested isolates and confirmed that the ampliPHOX colorimetric method with low-density DNA microarrays enabled a fast assessment of the virulence potential of STEC using low-cost reagents and instrumentation. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 4% |
| United States | 2 | 4% |
| Estonia | 1 | 2% |
| Unknown | 45 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 36% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Engineering | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Chemistry | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 July 2019.
All research outputs
#5,616,366
of 22,675,759 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,002
of 6,287 outputs
Outputs of similar age
#50,097
of 244,088 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#32
of 109 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 83% 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 244,088 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 79% of its contemporaries.
We're also able to compare this research output to 109 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 70% of its contemporaries.