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SV-Pop: population-based structural variant analysis and visualization

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

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
39 Mendeley
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Title
SV-Pop: population-based structural variant analysis and visualization
Published in
BMC Bioinformatics, March 2019
DOI 10.1186/s12859-019-2718-4
Pubmed ID
Authors

Matt Ravenhall, Susana Campino, Taane G. Clark

Twitter Demographics

The data shown below were collected from the profiles of 9 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Postgraduate 3 8%
Student > Bachelor 2 5%
Other 6 15%
Unknown 8 21%
Readers by discipline Count As %
Computer Science 8 21%
Agricultural and Biological Sciences 8 21%
Biochemistry, Genetics and Molecular Biology 6 15%
Immunology and Microbiology 3 8%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 10 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 March 2019.
All research outputs
#3,694,090
of 14,556,971 outputs
Outputs from BMC Bioinformatics
#1,552
of 5,415 outputs
Outputs of similar age
#88,164
of 265,011 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 60 outputs
Altmetric has tracked 14,556,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 5,415 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% 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 265,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 60 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.