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A highly sensitive and specific workflow for detecting rare copy-number variants from exome sequencing data

Overview of attention for article published in Genome Medicine, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
11 X users
reddit
1 Redditor

Readers on

mendeley
110 Mendeley
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Article details
Title
A highly sensitive and specific workflow for detecting rare copy-number variants from exome sequencing data
Published in
Genome Medicine, January 2020
DOI 10.1186/s13073-020-0712-0
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 23 21%
Student > Master 17 15%
Student > Ph. D. Student 15 14%
Other 9 8%
Student > Postgraduate 5 5%
Other 5 5%
Unknown 36 33%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 32%
Agricultural and Biological Sciences 12 11%
Medicine and Dentistry 11 10%
Computer Science 4 4%
Engineering 3 3%
Other 6 5%
Unknown 39 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 July 2022.
All research outputs
#6,858,680
of 32,178,296 outputs
Outputs from Genome Medicine
#1,176
of 1,861 outputs
Outputs of similar age
#124,585
of 504,321 outputs
Outputs of similar age from Genome Medicine
#27
of 33 outputs
Altmetric has tracked 32,178,296 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,861 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one is in the 36th percentile – i.e., 36% 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 504,321 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.