↓ Skip to main content

Bystro: rapid online variant annotation and natural-language filtering at whole-genome scale

Overview of attention for article published in Genome Biology, February 2018
Altmetric Badge

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 (80th percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Bystro: rapid online variant annotation and natural-language filtering at whole-genome scale
Published in
Genome Biology, February 2018
DOI 10.1186/s13059-018-1387-3
Pubmed ID
Authors

Alex V. Kotlar, Cristina E. Trevino, Michael E. Zwick, David J. Cutler, Thomas S. Wingo

Abstract

Accurately selecting relevant alleles in large sequencing experiments remains technically challenging. Bystro ( https://bystro.io/ ) is the first online, cloud-based application that makes variant annotation and filtering accessible to all researchers for terabyte-sized whole-genome experiments containing thousands of samples. Its key innovation is a general-purpose, natural-language search engine that enables users to identify and export alleles and samples of interest in milliseconds. The search engine dramatically simplifies complex filtering tasks that previously required programming experience or specialty command-line programs. Critically, Bystro's annotation and filtering capabilities are orders of magnitude faster than previous solutions, saving weeks of processing time for large experiments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 9 16%
Student > Bachelor 7 12%
Student > Doctoral Student 5 9%
Other 5 9%
Other 9 16%
Unknown 12 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 26%
Agricultural and Biological Sciences 14 24%
Computer Science 5 9%
Medicine and Dentistry 3 5%
Psychology 2 3%
Other 7 12%
Unknown 12 21%
Attention Score in Context

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 05 April 2018.
All research outputs
#4,230,658
of 25,382,440 outputs
Outputs from Genome Biology
#2,641
of 4,468 outputs
Outputs of similar age
#87,148
of 446,116 outputs
Outputs of similar age from Genome Biology
#36
of 45 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 40th percentile – i.e., 40% 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 446,116 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 80% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.