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Wavelet-based detection of transcriptional activity on a novel Staphylococcus aureus tiling microarray

Overview of attention for article published in BMC Bioinformatics, September 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Wavelet-based detection of transcriptional activity on a novel Staphylococcus aureus tiling microarray
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-222
Pubmed ID
Authors

Víctor Segura, Alejandro Toledo-Arana, Maite Uzqueda, Iñigo Lasa, Arrate Muñoz-Barrutia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 50%
Student > Bachelor 2 13%
Professor > Associate Professor 2 13%
Professor 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Biochemistry, Genetics and Molecular Biology 3 19%
Computer Science 2 13%
Engineering 2 13%
Immunology and Microbiology 1 6%
Other 1 6%
Unknown 2 13%
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 23 February 2017.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#56,463
of 169,902 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 98 outputs
Altmetric has tracked 23,035,022 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 7,318 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 169,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.