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Overcoming bias and systematic errors in next generation sequencing data

Overview of attention for article published in Genome Medicine, December 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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
183 Mendeley
citeulike
9 CiteULike
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Title
Overcoming bias and systematic errors in next generation sequencing data
Published in
Genome Medicine, December 2010
DOI 10.1186/gm208
Pubmed ID
Authors

Margaret A Taub, Hector Corrada Bravo, Rafael A Irizarry

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 7%
Italy 2 1%
Germany 1 <1%
Sweden 1 <1%
India 1 <1%
Norway 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Romania 1 <1%
Other 1 <1%
Unknown 161 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 30%
Student > Ph. D. Student 50 27%
Student > Master 20 11%
Student > Bachelor 9 5%
Student > Doctoral Student 9 5%
Other 26 14%
Unknown 14 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 50%
Biochemistry, Genetics and Molecular Biology 29 16%
Computer Science 16 9%
Mathematics 8 4%
Medicine and Dentistry 5 3%
Other 17 9%
Unknown 17 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 October 2023.
All research outputs
#5,339,559
of 25,374,917 outputs
Outputs from Genome Medicine
#985
of 1,585 outputs
Outputs of similar age
#33,157
of 191,050 outputs
Outputs of similar age from Genome Medicine
#2
of 7 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 191,050 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 82% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.