↓ Skip to main content

Development and application of the active surveillance of pathogens microarray to monitor bacterial gene flux

Overview of attention for article published in BMC Microbiology, October 2008
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Development and application of the active surveillance of pathogens microarray to monitor bacterial gene flux
Published in
BMC Microbiology, October 2008
DOI 10.1186/1471-2180-8-177
Pubmed ID
Authors

Richard A Stabler, Lisa F Dawson, Petra CF Oyston, Richard W Titball, Jim Wade, Jason Hinds, Adam A Witney, Brendan W Wren

Abstract

Human and animal health is constantly under threat by emerging pathogens that have recently acquired genetic determinants that enhance their survival, transmissibility and virulence. We describe the construction and development of an Active Surveillance of Pathogens (ASP) oligonucleotide microarray, designed to 'actively survey' the genome of a given bacterial pathogen for virulence-associated genes. The microarray consists of 4958 reporters from 151 bacterial species and include genes for the identification of individual bacterial species as well as mobile genetic elements (transposons, plasmid and phage), virulence genes and antibiotic resistance genes. The ASP microarray was validated with nineteen bacterial pathogens species, including Francisella tularensis, Clostridium difficile, Staphylococcus aureus, Enterococcus faecium and Stenotrophomonas maltophilia. The ASP microarray identified these bacteria, and provided information on potential antibiotic resistance (eg sufamethoxazole resistance and sulfonamide resistance) and virulence determinants including genes likely to be acquired by horizontal gene transfer (e.g. an alpha-haemolysin). The ASP microarray has potential in the clinic as a diagnostic tool, as a research tool for both known and emerging pathogens, and as an early warning system for pathogenic bacteria that have been recently modified either naturally or deliberately.

Mendeley readers

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 %
United Kingdom 1 2%
Greece 1 2%
Switzerland 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 6 12%
Professor 4 8%
Professor > Associate Professor 3 6%
Student > Master 3 6%
Other 6 12%
Unknown 14 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 35%
Immunology and Microbiology 7 14%
Medicine and Dentistry 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Nursing and Health Professions 1 2%
Other 6 12%
Unknown 15 29%
Attention Score in Context

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 20 April 2021.
All research outputs
#4,709,254
of 22,844,985 outputs
Outputs from BMC Microbiology
#509
of 3,192 outputs
Outputs of similar age
#17,232
of 90,108 outputs
Outputs of similar age from BMC Microbiology
#1
of 14 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,192 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 82% 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 90,108 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 72% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.