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SNPEVG: a graphical tool for GWAS graphing with mouse clicks

Overview of attention for article published in BMC Bioinformatics, November 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
4 CiteULike
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Title
SNPEVG: a graphical tool for GWAS graphing with mouse clicks
Published in
BMC Bioinformatics, November 2012
DOI 10.1186/1471-2105-13-319
Pubmed ID
Authors

Shengwen Wang, Daniel Dvorkin, Yang Da

Abstract

Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers generate large quantities of tests results. Global and local graphical viewing of the test results is an effective approach to digest and interpret GWAS results.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Netherlands 1 2%
Sweden 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Ph. D. Student 7 17%
Other 5 12%
Professor 4 10%
Student > Bachelor 3 7%
Other 10 24%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 40%
Biochemistry, Genetics and Molecular Biology 5 12%
Computer Science 5 12%
Medicine and Dentistry 5 12%
Arts and Humanities 2 5%
Other 2 5%
Unknown 6 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 February 2018.
All research outputs
#3,171,709
of 12,510,237 outputs
Outputs from BMC Bioinformatics
#1,421
of 4,659 outputs
Outputs of similar age
#61,533
of 256,643 outputs
Outputs of similar age from BMC Bioinformatics
#156
of 442 outputs
Altmetric has tracked 12,510,237 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,659 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 68% 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 256,643 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 75% of its contemporaries.
We're also able to compare this research output to 442 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.