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A system to simultaneously detect tick-borne pathogens based on the variability of the 16S ribosomal genes

Overview of attention for article published in Parasites & Vectors, September 2013
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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4 X users
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1 patent
facebook
2 Facebook pages

Citations

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17 Dimensions

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50 Mendeley
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Title
A system to simultaneously detect tick-borne pathogens based on the variability of the 16S ribosomal genes
Published in
Parasites & Vectors, September 2013
DOI 10.1186/1756-3305-6-269
Pubmed ID
Authors

Jana Melničáková, Marketa Derdáková, Imrich Barák

Abstract

DNA microarrays can be used to quickly and sensitively identify several different pathogens in one step. Our previously developed DNA microarray, based on the detection of variable regions in the 16S rDNA gene (rrs), which are specific for each selected bacterial genus, allowed the concurrent detection of Borrelia spp., Anaplasma spp., Francisella spp., Rickettsia spp. and Coxiella spp.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Uganda 1 2%
Portugal 1 2%
Mexico 1 2%
Sweden 1 2%
Unknown 44 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 5 10%
Student > Master 5 10%
Other 4 8%
Other 8 16%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 36%
Biochemistry, Genetics and Molecular Biology 4 8%
Immunology and Microbiology 4 8%
Medicine and Dentistry 4 8%
Veterinary Science and Veterinary Medicine 3 6%
Other 4 8%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 July 2015.
All research outputs
#4,557,839
of 22,721,584 outputs
Outputs from Parasites & Vectors
#1,008
of 5,441 outputs
Outputs of similar age
#41,501
of 201,958 outputs
Outputs of similar age from Parasites & Vectors
#12
of 75 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,441 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 81% 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 201,958 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 79% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.