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Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips

Overview of attention for article published in BMC Bioinformatics, March 2011
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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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
facebook
1 Facebook page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
165 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
Published in
BMC Bioinformatics, March 2011
DOI 10.1186/1471-2105-12-68
Pubmed ID
Authors

Matthew E Ritchie, Ruijie Liu, Benilton S Carvalho, The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Rafael A Irizarry

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United States 3 2%
France 2 1%
Germany 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Thailand 1 <1%
New Zealand 1 <1%
Unknown 152 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 30%
Student > Ph. D. Student 30 18%
Student > Master 16 10%
Other 12 7%
Student > Doctoral Student 10 6%
Other 27 16%
Unknown 20 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 51%
Biochemistry, Genetics and Molecular Biology 23 14%
Computer Science 11 7%
Medicine and Dentistry 10 6%
Mathematics 7 4%
Other 11 7%
Unknown 19 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 March 2011.
All research outputs
#5,665,249
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#2,029
of 7,377 outputs
Outputs of similar age
#30,671
of 109,873 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 42 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 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 72% 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 109,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.