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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 (86th percentile)

Mentioned by

twitter
18 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Readers on

mendeley
15 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 27%
Student > Doctoral Student 3 20%
Researcher 3 20%
Student > Master 2 13%
Student > Bachelor 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Computer Science 3 20%
Agricultural and Biological Sciences 2 13%
Immunology and Microbiology 2 13%
Unknown 1 7%

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 June 2019.
All research outputs
#2,164,513
of 16,064,848 outputs
Outputs from BMC Bioinformatics
#880
of 5,819 outputs
Outputs of similar age
#54,634
of 269,206 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 46 outputs
Altmetric has tracked 16,064,848 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 5,819 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 269,206 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 86% of its contemporaries.