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A systematic evaluation of copy number alterations detection methods on real SNP array and deep sequencing data

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A systematic evaluation of copy number alterations detection methods on real SNP array and deep sequencing data
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3266-7
Pubmed ID
Authors

Fei Luo

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 32%
Student > Ph. D. Student 3 16%
Researcher 2 11%
Unknown 8 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 37%
Chemical Engineering 1 5%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 8 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 November 2022.
All research outputs
#3,111,234
of 23,072,295 outputs
Outputs from BMC Bioinformatics
#1,094
of 7,323 outputs
Outputs of similar age
#75,847
of 456,939 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 218 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,323 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 84% 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 456,939 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 83% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.