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Enhanced JBrowse plugins for epigenomics data visualization

Overview of attention for article published in BMC Bioinformatics, April 2018
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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 (91st percentile)

Mentioned by

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22 X users

Citations

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21 Dimensions

Readers on

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33 Mendeley
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Title
Enhanced JBrowse plugins for epigenomics data visualization
Published in
BMC Bioinformatics, April 2018
DOI 10.1186/s12859-018-2160-z
Pubmed ID
Authors

Brigitte T. Hofmeister, Robert J. Schmitz

Abstract

New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifically, we have focused on visualizing DNA base modifications, small non-coding RNAs, stranded read coverage, and sequence motif density. Additionally, we present several plugins for improved user experience such as configurable, high-quality screenshots. In visualizing epigenomics with traditional genomics data, we see these plugins improving scientific communication and leading to discoveries within the field of epigenomics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 7 21%
Researcher 3 9%
Professor 3 9%
Other 2 6%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 33%
Agricultural and Biological Sciences 8 24%
Computer Science 2 6%
Design 2 6%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 09 April 2019.
All research outputs
#2,666,166
of 22,796,179 outputs
Outputs from BMC Bioinformatics
#861
of 7,281 outputs
Outputs of similar age
#57,832
of 325,786 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 97 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 88% 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 325,786 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 97 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 91% of its contemporaries.