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Rare variant phasing using paired tumor:normal sequence data

Overview of attention for article published in BMC Bioinformatics, May 2019
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
18 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Readers on

mendeley
13 Mendeley
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Title
Rare variant phasing using paired tumor:normal sequence data
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2753-1
Authors

Alexandra R. Buckley, Trey Ideker, Hannah Carter, Nicholas J. Schork

Twitter Demographics

The data shown below were collected from the profiles of 18 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 31%
Student > Doctoral Student 3 23%
Student > Master 2 15%
Researcher 2 15%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 46%
Computer Science 2 15%
Agricultural and Biological Sciences 2 15%
Immunology and Microbiology 2 15%
Unknown 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 June 2019.
All research outputs
#2,046,789
of 14,442,381 outputs
Outputs from BMC Bioinformatics
#816
of 5,403 outputs
Outputs of similar age
#53,627
of 260,886 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 46 outputs
Altmetric has tracked 14,442,381 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,403 research outputs from this source. They receive a mean Attention Score of 4.9. 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 260,886 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 79% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.