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Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data

Overview of attention for article published in BMC Genomics, April 2022
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data
Published in
BMC Genomics, April 2022
DOI 10.1186/s12864-022-08548-y
Authors

Xiaoke Duan, Mingpei Pan, Shaohua Fan

Twitter Demographics

The data shown below were collected from the profiles of 2 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 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 %
Researcher 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Unknown 4 57%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 4 57%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 April 2022.
All research outputs
#17,204,069
of 21,298,337 outputs
Outputs from BMC Genomics
#7,827
of 10,263 outputs
Outputs of similar age
#195,567
of 278,941 outputs
Outputs of similar age from BMC Genomics
#2
of 3 outputs
Altmetric has tracked 21,298,337 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,263 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 13th percentile – i.e., 13% 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 278,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.