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Pseudogene accumulation in the evolutionary histories of Salmonella enterica serovars Paratyphi A and Typhi

Overview of attention for article published in BMC Genomics, January 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
166 Dimensions

Readers on

mendeley
173 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Pseudogene accumulation in the evolutionary histories of Salmonella enterica serovars Paratyphi A and Typhi
Published in
BMC Genomics, January 2009
DOI 10.1186/1471-2164-10-36
Pubmed ID
Authors

Kathryn E Holt, Nicholas R Thomson, John Wain, Gemma C Langridge, Rumina Hasan, Zulfiqar A Bhutta, Michael A Quail, Halina Norbertczak, Danielle Walker, Mark Simmonds, Brian White, Nathalie Bason, Karen Mungall, Gordon Dougan, Julian Parkhill

Abstract

Of the > 2000 serovars of Salmonella enterica subspecies I, most cause self-limiting gastrointestinal disease in a wide range of mammalian hosts. However, S. enterica serovars Typhi and Paratyphi A are restricted to the human host and cause the similar systemic diseases typhoid and paratyphoid fever. Genome sequence similarity between Paratyphi A and Typhi has been attributed to convergent evolution via relatively recent recombination of a quarter of their genomes. The accumulation of pseudogenes is a key feature of these and other host-adapted pathogens, and overlapping pseudogene complements are evident in Paratyphi A and Typhi.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Italy 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Unknown 167 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 26%
Researcher 32 18%
Student > Master 24 14%
Student > Bachelor 14 8%
Student > Postgraduate 8 5%
Other 23 13%
Unknown 27 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 42%
Biochemistry, Genetics and Molecular Biology 30 17%
Immunology and Microbiology 11 6%
Medicine and Dentistry 11 6%
Unspecified 4 2%
Other 13 8%
Unknown 31 18%
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 18 October 2011.
All research outputs
#6,427,816
of 25,373,627 outputs
Outputs from BMC Genomics
#2,468
of 11,244 outputs
Outputs of similar age
#40,619
of 184,476 outputs
Outputs of similar age from BMC Genomics
#13
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 184,476 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 77% of its contemporaries.
We're also able to compare this research output to 51 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 74% of its contemporaries.