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Preprocessing of gene expression data by optimally robust estimators

Overview of attention for article published in BMC Bioinformatics, November 2010
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About this Attention Score

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

Mentioned by

patent
2 patents

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
46 Mendeley
citeulike
1 CiteULike
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Title
Preprocessing of gene expression data by optimally robust estimators
Published in
BMC Bioinformatics, November 2010
DOI 10.1186/1471-2105-11-583
Pubmed ID
Authors

Matthias Kohl, Hans-Peter Deigner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 9%
Japan 1 2%
United States 1 2%
France 1 2%
Unknown 39 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Master 9 20%
Student > Ph. D. Student 6 13%
Professor > Associate Professor 4 9%
Other 3 7%
Other 7 15%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 37%
Medicine and Dentistry 7 15%
Biochemistry, Genetics and Molecular Biology 6 13%
Mathematics 3 7%
Computer Science 3 7%
Other 6 13%
Unknown 4 9%
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 27 May 2021.
All research outputs
#7,540,801
of 23,005,189 outputs
Outputs from BMC Bioinformatics
#3,038
of 7,312 outputs
Outputs of similar age
#54,354
of 180,961 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 57 outputs
Altmetric has tracked 23,005,189 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 7,312 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 180,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.