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BigTop: a three-dimensional virtual reality tool for GWAS visualization

Overview of attention for article published in BMC Bioinformatics, January 2020
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
37 Mendeley
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Title
BigTop: a three-dimensional virtual reality tool for GWAS visualization
Published in
BMC Bioinformatics, January 2020
DOI 10.1186/s12859-020-3373-5
Pubmed ID
Authors

Samuel T. Westreich, Maria Nattestad, Christopher Meyer

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 5 14%
Student > Master 3 8%
Student > Bachelor 2 5%
Professor 2 5%
Other 5 14%
Unknown 13 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 16%
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 4 11%
Unspecified 1 3%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 16 43%
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 05 February 2020.
All research outputs
#3,391,820
of 24,226,848 outputs
Outputs from BMC Bioinformatics
#1,168
of 7,512 outputs
Outputs of similar age
#79,725
of 458,948 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 175 outputs
Altmetric has tracked 24,226,848 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 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 458,948 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 82% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.