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Taxonomer: an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling

Overview of attention for article published in Genome Biology (Online Edition), May 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 3,911)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
26 news outlets
blogs
5 blogs
twitter
109 tweeters
patent
2 patents
facebook
2 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor

Readers on

mendeley
287 Mendeley
citeulike
4 CiteULike
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Title
Taxonomer: an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling
Published in
Genome Biology (Online Edition), May 2016
DOI 10.1186/s13059-016-0969-1
Pubmed ID
Authors

Steven Flygare, Keith Simmon, Chase Miller, Yi Qiao, Brett Kennedy, Tonya Di Sera, Erin H. Graf, Keith D. Tardif, Aurélie Kapusta, Shawn Rynearson, Chris Stockmann, Krista Queen, Suxiang Tong, Karl V. Voelkerding, Anne Blaschke, Carrie L. Byington, Seema Jain, Andrew Pavia, Krow Ampofo, Karen Eilbeck, Gabor Marth, Mark Yandell, Robert Schlaberg

Abstract

High-throughput sequencing enables unbiased profiling of microbial communities, universal pathogen detection, and host response to infectious diseases. However, computation times and algorithmic inaccuracies have hindered adoption. We present Taxonomer, an ultrafast, web-tool for comprehensive metagenomics data analysis and interactive results visualization. Taxonomer is unique in providing integrated nucleotide and protein-based classification and simultaneous host messenger RNA (mRNA) transcript profiling. Using real-world case-studies, we show that Taxonomer detects previously unrecognized infections and reveals antiviral host mRNA expression profiles. To facilitate data-sharing across geographic distances in outbreak settings, Taxonomer is publicly available through a web-based user interface. Taxonomer enables rapid, accurate, and interactive analyses of metagenomics data on personal computers and mobile devices.

Twitter Demographics

The data shown below were collected from the profiles of 109 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 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Brazil 4 1%
United Kingdom 3 1%
Germany 2 <1%
Taiwan 1 <1%
India 1 <1%
Netherlands 1 <1%
Canada 1 <1%
South Africa 1 <1%
Other 5 2%
Unknown 261 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 24%
Student > Ph. D. Student 64 22%
Student > Master 45 16%
Student > Bachelor 31 11%
Professor > Associate Professor 12 4%
Other 39 14%
Unknown 26 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 100 35%
Biochemistry, Genetics and Molecular Biology 65 23%
Computer Science 26 9%
Immunology and Microbiology 20 7%
Medicine and Dentistry 15 5%
Other 27 9%
Unknown 34 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 286. 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 08 December 2021.
All research outputs
#79,499
of 20,114,356 outputs
Outputs from Genome Biology (Online Edition)
#27
of 3,911 outputs
Outputs of similar age
#2,019
of 279,005 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,114,356 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,911 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 99% 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 279,005 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 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them