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Variance of allele balance calculated from low coverage sequencing data infers departure from a diploid state

Overview of attention for article published in BMC Bioinformatics, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

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1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Variance of allele balance calculated from low coverage sequencing data infers departure from a diploid state
Published in
BMC Bioinformatics, April 2022
DOI 10.1186/s12859-022-04685-z
Pubmed ID
Authors

Kyle Fletcher, Rongkui Han, Diederik Smilde, Richard Michelmore

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 April 2022.
All research outputs
#13,945,787
of 23,622,736 outputs
Outputs from BMC Bioinformatics
#4,292
of 7,410 outputs
Outputs of similar age
#192,014
of 444,048 outputs
Outputs of similar age from BMC Bioinformatics
#78
of 139 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 444,048 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 54% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.