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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a Custom-Designed, Pan Genomic DNA Microarray to Characterize Strain-Level Diversity among Cronobacter spp.
|
|---|---|
| Published in |
Frontiers in Pediatrics, April 2015
|
| DOI | 10.3389/fped.2015.00036 |
| Pubmed ID | |
| Authors |
Ben Davies Tall, Jayanthi Gangiredla, Gopal R. Gopinath, Qiongqiong Yan, Hannah R. Chase, Boram Lee, Seongeun Hwang, Larisa Trach, Eunbi Park, YeonJoo Yoo, TaeJung Chung, Scott A. Jackson, Isha R. Patel, Venugopal Sathyamoorthy, Monica Pava-Ripoll, Michael L. Kotewicz, Laurenda Carter, Carol Iversen, Franco Pagotto, Roger Stephan, Angelika Lehner, Séamus Fanning, Christopher J. Grim |
| Abstract |
Cronobacter species cause infections in all age groups; however neonates are at highest risk and remain the most susceptible age group for life-threatening invasive disease. The genus contains seven species:Cronobacter sakazakii, Cronobacter malonaticus, Cronobacter turicensis, Cronobacter muytjensii, Cronobacter dublinensis, Cronobacter universalis, and Cronobacter condimenti. Despite an abundance of published genomes of these species, genomics-based epidemiology of the genus is not well established. The gene content of a diverse group of 126 unique Cronobacter and taxonomically related isolates was determined using a pan genomic-based DNA microarray as a genotyping tool and as a means to identify outbreak isolates for food safety, environmental, and clinical surveillance purposes. The microarray constitutes 19,287 independent genes representing 15 Cronobacter genomes and 18 plasmids and 2,371 virulence factor genes of phylogenetically related Gram-negative bacteria. The Cronobacter microarray was able to distinguish the seven Cronobacter species from one another and from non-Cronobacter species; and within each species, strains grouped into distinct clusters based on their genomic diversity. These results also support the phylogenic divergence of the genus and clearly highlight the genomic diversity among each member of the genus. The current study establishes a powerful platform for further genomics research of this diverse genus, an important prerequisite toward the development of future countermeasures against this foodborne pathogen in the food safety and clinical arenas. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Master | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Other | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 47% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Immunology and Microbiology | 3 | 18% |
| Chemistry | 1 | 6% |
| Unknown | 2 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 May 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from Frontiers in Pediatrics
#3,342
of 5,952 outputs
Outputs of similar age
#192,228
of 263,973 outputs
Outputs of similar age from Frontiers in Pediatrics
#24
of 33 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,952 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 30th percentile – i.e., 30% 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 263,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.