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Evidence for niche adaptation in the genome of the bovine pathogen Streptococcus uberis

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

patent
3 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
95 Mendeley
citeulike
1 CiteULike
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Title
Evidence for niche adaptation in the genome of the bovine pathogen Streptococcus uberis
Published in
BMC Genomics, January 2009
DOI 10.1186/1471-2164-10-54
Pubmed ID
Authors

Philip N Ward, Matthew TG Holden, James A Leigh, Nicola Lennard, Alexandra Bignell, Andy Barron, Louise Clark, Michael A Quail, John Woodward, Bart G Barrell, Sharon A Egan, Terence R Field, Duncan Maskell, Michael Kehoe, Christopher G Dowson, Neil Chanter, Adrian M Whatmore, Stephen D Bentley, Julian Parkhill

Abstract

Streptococcus uberis, a Gram positive bacterial pathogen responsible for a significant proportion of bovine mastitis in commercial dairy herds, colonises multiple body sites of the cow including the gut, genital tract and mammary gland. Comparative analysis of the complete genome sequence of S. uberis strain 0140J was undertaken to help elucidate the biology of this effective bovine pathogen.

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Germany 1 1%
Italy 1 1%
Sweden 1 1%
India 1 1%
Unknown 89 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Researcher 16 17%
Student > Bachelor 13 14%
Student > Master 13 14%
Student > Doctoral Student 6 6%
Other 18 19%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 39%
Veterinary Science and Veterinary Medicine 15 16%
Biochemistry, Genetics and Molecular Biology 13 14%
Immunology and Microbiology 6 6%
Medicine and Dentistry 5 5%
Other 8 8%
Unknown 11 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 August 2020.
All research outputs
#2,613,576
of 18,679,853 outputs
Outputs from BMC Genomics
#1,124
of 9,619 outputs
Outputs of similar age
#44,813
of 307,244 outputs
Outputs of similar age from BMC Genomics
#12
of 159 outputs
Altmetric has tracked 18,679,853 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 87% 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 307,244 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 85% of its contemporaries.
We're also able to compare this research output to 159 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 93% of its contemporaries.