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Phenotypic and genotypic identification of streptococci and related bacteria isolated from bovine intramammary infections

Overview of attention for article published in Acta Veterinaria Scandinavica, July 2013
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 X user
wikipedia
1 Wikipedia page

Citations

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41 Dimensions

Readers on

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87 Mendeley
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Title
Phenotypic and genotypic identification of streptococci and related bacteria isolated from bovine intramammary infections
Published in
Acta Veterinaria Scandinavica, July 2013
DOI 10.1186/1751-0147-55-53
Pubmed ID
Authors

Andreas Raemy, Mireille Meylan, Simona Casati, Valeria Gaia, Beat Berchtold, Renate Boss, Anja Wyder, Hans U Graber

Abstract

Streptococcus spp. and other Gram-positive, catalase-negative cocci (PNC) form a large group of microorganisms which can be found in the milk of cows with intramammary infection. The most frequently observed PNC mastitis pathogens (major pathogens) are Streptococcus uberis, Strep. dysgalactiae, and Strep. agalactiae. The remaining PNC include a few minor pathogens and a large nonpathogenic group. Improved methods are needed for the accurate identification and differentiation of PNC. A total of 151 PNC were collected from cows with intramammary infection and conclusively identified by 16S rRNA sequencing as reference method. Nine phenotypic microbiological tests (alpha-hemolysis, CAMP reaction, esculin hydrolysis, growth on kanamycin esculin azide agar and on sodium chloride agar, inulin fermentation, hippurate hydrolysis, leucine aminopeptidase and pyrrolidonyl peptidase activity), multiplex PCR for the three major pathogens (target genes for Strep. uberis, Strep. dysgalactiae and Strep. agalactiae: pauA, 16S rRNA, and sklA3, respectively), and mass spectroscopy using the matrix-assisted laser desorption ionization-time of flight (MALDI-TOF MS) were evaluated for the diagnosis and discrimination of the three clinically most relevant PNC.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Brazil 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Researcher 10 11%
Student > Master 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Other 16 18%
Unknown 24 28%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 26 30%
Agricultural and Biological Sciences 19 22%
Medicine and Dentistry 6 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Immunology and Microbiology 4 5%
Other 4 5%
Unknown 24 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 March 2014.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from Acta Veterinaria Scandinavica
#161
of 837 outputs
Outputs of similar age
#64,180
of 207,998 outputs
Outputs of similar age from Acta Veterinaria Scandinavica
#2
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 837 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 79% 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 207,998 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 67% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.