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JContextExplorer: a tree-based approach to facilitate cross-species genomic context comparison

Overview of attention for article published in BMC Bioinformatics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
2 CiteULike
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Title
JContextExplorer: a tree-based approach to facilitate cross-species genomic context comparison
Published in
BMC Bioinformatics, January 2013
DOI 10.1186/1471-2105-14-18
Pubmed ID
Authors

Phillip Seitzer, Tu Anh Huynh, Marc T Facciotti

Abstract

Cross-species comparisons of gene neighborhoods (also called genomic contexts) in microbes may provide insight into determining functionally related or co-regulated sets of genes, suggest annotations of previously un-annotated genes, and help to identify horizontal gene transfer events across microbial species. Existing tools to investigate genomic contexts, however, lack features for dynamically comparing and exploring genomic regions from multiple species. As DNA sequencing technologies improve and the number of whole sequenced microbial genomes increases, a user-friendly genome context comparison platform designed for use by a broad range of users promises to satisfy a growing need in the biological community.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 3%
Sweden 1 3%
Germany 1 3%
Unknown 35 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 48%
Student > Ph. D. Student 9 23%
Professor > Associate Professor 4 10%
Student > Master 3 8%
Student > Postgraduate 3 8%
Other 1 3%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 53%
Biochemistry, Genetics and Molecular Biology 6 15%
Computer Science 5 13%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Other 5 13%
Unknown 1 3%
Attention Score in Context

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 24 January 2014.
All research outputs
#6,701,318
of 22,693,205 outputs
Outputs from BMC Bioinformatics
#2,554
of 7,254 outputs
Outputs of similar age
#74,876
of 284,977 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 139 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,254 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 gotten more attention than average, scoring higher than 64% 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 284,977 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 73% of its contemporaries.
We're also able to compare this research output to 139 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 60% of its contemporaries.