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High-throughput microarray technology in diagnostics of enterobacteria based on genome-wide probe selection and regression analysis

Overview of attention for article published in BMC Genomics, October 2010
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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 (84th percentile)

Mentioned by

blogs
1 blog

Citations

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13 Dimensions

Readers on

mendeley
52 Mendeley
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Title
High-throughput microarray technology in diagnostics of enterobacteria based on genome-wide probe selection and regression analysis
Published in
BMC Genomics, October 2010
DOI 10.1186/1471-2164-11-591
Pubmed ID
Authors

Torben Friedrich, Sven Rahmann, Wilfried Weigel, Wolfgang Rabsch, Angelika Fruth, Eliora Ron, Florian Gunzer, Thomas Dandekar, Jörg Hacker, Tobias Müller, Ulrich Dobrindt

Abstract

The Enterobacteriaceae comprise a large number of clinically relevant species with several individual subspecies. Overlapping virulence-associated gene pools and the high overall genome plasticity often interferes with correct enterobacterial strain typing and risk assessment. Array technology offers a fast, reproducible and standardisable means for bacterial typing and thus provides many advantages for bacterial diagnostics, risk assessment and surveillance. The development of highly discriminative broad-range microbial diagnostic microarrays remains a challenge, because of marked genome plasticity of many bacterial pathogens.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 2%
Germany 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 9 17%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Other 3 6%
Other 8 15%
Unknown 10 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 29%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 5 10%
Computer Science 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 9 17%
Unknown 11 21%

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 03 June 2011.
All research outputs
#2,416,455
of 17,360,236 outputs
Outputs from BMC Genomics
#1,066
of 9,281 outputs
Outputs of similar age
#25,576
of 174,676 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 17,360,236 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 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 174,676 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them