↓ Skip to main content

Comparative genomics of the emerging human pathogen Photorhabdus asymbiotica with the insect pathogen Photorhabdus luminescens

Overview of attention for article published in BMC Genomics, July 2009
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
48 X users
patent
1 patent

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
140 Mendeley
citeulike
2 CiteULike
Title
Comparative genomics of the emerging human pathogen Photorhabdus asymbiotica with the insect pathogen Photorhabdus luminescens
Published in
BMC Genomics, July 2009
DOI 10.1186/1471-2164-10-302
Pubmed ID
Authors

Paul Wilkinson, Nicholas R Waterfield, Lisa Crossman, Craig Corton, Maria Sanchez-Contreras, Isabella Vlisidou, Andrew Barron, Alexandra Bignell, Louise Clark, Douglas Ormond, Matthew Mayho, Nathalie Bason, Frances Smith, Mark Simmonds, Carol Churcher, David Harris, Nicholas R Thompson, Michael Quail, Julian Parkhill, Richard H ffrench-Constant

Abstract

The Gram-negative bacterium Photorhabdus asymbiotica (Pa) has been recovered from human infections in both North America and Australia. Recently, Pa has been shown to have a nematode vector that can also infect insects, like its sister species the insect pathogen P. luminescens (Pl). To understand the relationship between pathogenicity to insects and humans in Photorhabdus we have sequenced the complete genome of Pa strain ATCC43949 from North America. This strain (formerly referred to as Xenorhabdus luminescens strain 2) was isolated in 1977 from the blood of an 80 year old female patient with endocarditis, in Maryland, USA. Here we compare the complete genome of Pa ATCC43949 with that of the previously sequenced insect pathogen P. luminescens strain TT01 which was isolated from its entomopathogenic nematode vector collected from soil in Trinidad and Tobago.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 2 1%
Spain 2 1%
Sweden 1 <1%
India 1 <1%
France 1 <1%
Canada 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 129 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 19%
Researcher 23 16%
Student > Master 20 14%
Professor 9 6%
Student > Bachelor 8 6%
Other 26 19%
Unknown 27 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 52%
Biochemistry, Genetics and Molecular Biology 13 9%
Immunology and Microbiology 10 7%
Environmental Science 3 2%
Medicine and Dentistry 3 2%
Other 6 4%
Unknown 32 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 14 December 2016.
All research outputs
#1,090,998
of 25,726,194 outputs
Outputs from BMC Genomics
#144
of 11,309 outputs
Outputs of similar age
#2,989
of 122,563 outputs
Outputs of similar age from BMC Genomics
#1
of 53 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,309 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 122,563 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.