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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 (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
168 Mendeley
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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
Authors

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

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 167 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 22%
Student > Ph. D. Student 35 21%
Student > Master 25 15%
Student > Bachelor 16 10%
Student > Doctoral Student 9 5%
Other 24 14%
Unknown 22 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 28%
Biochemistry, Genetics and Molecular Biology 30 18%
Immunology and Microbiology 10 6%
Mathematics 9 5%
Computer Science 8 5%
Other 36 21%
Unknown 28 17%
Attention Score in Context

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
#7,268,923
of 25,703,943 outputs
Outputs from BMC Genomics
#2,940
of 11,305 outputs
Outputs of similar age
#123,792
of 366,521 outputs
Outputs of similar age from BMC Genomics
#51
of 213 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,305 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 366,521 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 65% 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 76% of its contemporaries.