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GIVE: portable genome browsers for personal websites

Overview of attention for article published in Genome Biology, July 2018
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
1 news outlet
twitter
50 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
68 Mendeley
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Title
GIVE: portable genome browsers for personal websites
Published in
Genome Biology, July 2018
DOI 10.1186/s13059-018-1465-6
Pubmed ID
Authors

Xiaoyi Cao, Zhangming Yan, Qiuyang Wu, Alvin Zheng, Sheng Zhong

Abstract

Growing popularity and diversity of genomic data demand portable and versatile genome browsers. Here, we present an open source programming library called GIVE that facilitates the creation of personalized genome browsers without requiring a system administrator. By inserting HTML tags, one can add to a personal webpage interactive visualization of multiple types of genomics data, including genome annotation, "linear" quantitative data, and genome interaction data. GIVE includes a graphical interface called HUG (HTML Universal Generator) that automatically generates HTML code for displaying user chosen data, which can be copy-pasted into user's personal website or saved and shared with collaborators. GIVE is available at: https://www.givengine.org/ .

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 13 19%
Student > Master 8 12%
Other 5 7%
Professor 5 7%
Other 7 10%
Unknown 16 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 35%
Agricultural and Biological Sciences 18 26%
Computer Science 4 6%
Environmental Science 1 1%
Unspecified 1 1%
Other 2 3%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 17 August 2018.
All research outputs
#1,097,775
of 25,385,509 outputs
Outputs from Genome Biology
#799
of 4,468 outputs
Outputs of similar age
#23,247
of 340,475 outputs
Outputs of similar age from Genome Biology
#14
of 54 outputs
Altmetric has tracked 25,385,509 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 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 has done well, scoring higher than 82% 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 340,475 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 93% of its contemporaries.
We're also able to compare this research output to 54 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 74% of its contemporaries.