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Web-based visual analysis for high-throughput genomics

Overview of attention for article published in BMC Genomics, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
38 X users
patent
1 patent
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
reddit
1 Redditor
f1000
1 research highlight platform

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
214 Mendeley
citeulike
10 CiteULike
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Title
Web-based visual analysis for high-throughput genomics
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-397
Pubmed ID
Authors

Jeremy Goecks, Carl Eberhard, Tomithy Too, The Galaxy Team, Anton Nekrutenko, James Taylor

Abstract

Visualization plays an essential role in genomics research by making it possible to observe correlations and trends in large datasets as well as communicate findings to others. Visual analysis, which combines visualization with analysis tools to enable seamless use of both approaches for scientific investigation, offers a powerful method for performing complex genomic analyses. However, there are numerous challenges that arise when creating rich, interactive Web-based visualizations/visual analysis applications for high-throughput genomics. These challenges include managing data flow from Web server to Web browser, integrating analysis tools and visualizations, and sharing visualizations with colleagues.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
Brazil 4 2%
France 3 1%
Netherlands 2 <1%
Australia 2 <1%
Sweden 2 <1%
Germany 2 <1%
United Kingdom 2 <1%
Russia 2 <1%
Other 8 4%
Unknown 176 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 69 32%
Student > Ph. D. Student 41 19%
Student > Master 24 11%
Student > Bachelor 14 7%
Professor 12 6%
Other 33 15%
Unknown 21 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 113 53%
Biochemistry, Genetics and Molecular Biology 29 14%
Computer Science 20 9%
Medicine and Dentistry 8 4%
Engineering 4 2%
Other 11 5%
Unknown 29 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 13 April 2021.
All research outputs
#1,249,592
of 25,252,667 outputs
Outputs from BMC Genomics
#208
of 11,204 outputs
Outputs of similar age
#9,944
of 203,018 outputs
Outputs of similar age from BMC Genomics
#5
of 117 outputs
Altmetric has tracked 25,252,667 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,204 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 203,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.