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imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters

Overview of attention for article published in BMC Bioinformatics, July 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
20 Mendeley
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Title
imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters
Published in
BMC Bioinformatics, July 2020
DOI 10.1186/s12859-020-03589-0
Pubmed ID
Authors

Gennady V. Khvorykh, Andrey V. Khrunin

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Unspecified 1 5%
Student > Ph. D. Student 1 5%
Other 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 8 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Mathematics 1 5%
Computer Science 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 10 50%
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 08 October 2020.
All research outputs
#7,283,494
of 25,382,250 outputs
Outputs from BMC Bioinformatics
#2,627
of 7,682 outputs
Outputs of similar age
#145,728
of 406,021 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 116 outputs
Altmetric has tracked 25,382,250 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 7,682 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 65% 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 406,021 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 63% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.