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Analysis and correction of compositional bias in sparse sequencing count data

Overview of attention for article published in BMC Genomics, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
151 Mendeley
Summary Twitter Dimensions citations
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Title
Analysis and correction of compositional bias in sparse sequencing count data
Published in
BMC Genomics, November 2018
DOI 10.1186/s12864-018-5160-5
Pubmed ID
30400812
Authors

M. Senthil Kumar, Eric V. Slud, Kwame Okrah, Stephanie C. Hicks, Sridhar Hannenhalli, Héctor Corrada Bravo

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 23%
Researcher 33 22%
Student > Master 22 15%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 22 15%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 29%
Biochemistry, Genetics and Molecular Biology 25 17%
Immunology and Microbiology 9 6%
Mathematics 9 6%
Engineering 8 5%
Other 34 23%
Unknown 22 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 April 2019.
All research outputs
#6,333,587
of 23,112,054 outputs
Outputs from BMC Genomics
#2,730
of 10,708 outputs
Outputs of similar age
#116,216
of 352,386 outputs
Outputs of similar age from BMC Genomics
#47
of 213 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 352,386 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 66% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.

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