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Robust methods for accurate diagnosis using pan-microbiological oligonucleotide microarrays

Overview of attention for article published in BMC Bioinformatics, February 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
2 Mendeley
citeulike
1 CiteULike
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Title
Robust methods for accurate diagnosis using pan-microbiological oligonucleotide microarrays
Published in
BMC Bioinformatics, February 2009
DOI 10.1186/1471-2105-10-s2-s11
Pubmed ID
Authors

Yang Liu, Lee Sam, Jianrong Li, Yves A Lussier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 50%
Germany 1 50%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 200%
Student > Postgraduate 3 150%
Student > Master 3 150%
Other 2 100%
Student > Ph. D. Student 1 50%
Other 3 150%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 250%
Agricultural and Biological Sciences 4 200%
Medicine and Dentistry 3 150%
Pharmacology, Toxicology and Pharmaceutical Science 1 50%
Veterinary Science and Veterinary Medicine 1 50%
Other 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 August 2020.
All research outputs
#7,645,563
of 23,278,709 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#50,325
of 172,290 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 57 outputs
Altmetric has tracked 23,278,709 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 172,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.