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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Taxonomer: an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling
|
|---|---|
| Published in |
Genome Biology, 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. |
X Demographics
The data shown below were collected from the profiles of 96 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 25 | 26% |
| United Kingdom | 6 | 6% |
| Australia | 6 | 6% |
| France | 6 | 6% |
| Germany | 2 | 2% |
| Mexico | 2 | 2% |
| Canada | 2 | 2% |
| Finland | 1 | 1% |
| Ireland | 1 | 1% |
| Other | 10 | 10% |
| Unknown | 35 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 53% |
| Scientists | 41 | 43% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 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% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Taiwan | 1 | <1% |
| India | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 293 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 75 | 24% |
| Student > Ph. D. Student | 65 | 20% |
| Student > Master | 45 | 14% |
| Student > Bachelor | 35 | 11% |
| Other | 15 | 5% |
| Other | 44 | 14% |
| Unknown | 39 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 104 | 33% |
| Biochemistry, Genetics and Molecular Biology | 71 | 22% |
| Computer Science | 27 | 8% |
| Immunology and Microbiology | 20 | 6% |
| Medicine and Dentistry | 17 | 5% |
| Other | 32 | 10% |
| Unknown | 47 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 274. 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
#132,958
of 25,711,518 outputs
Outputs from Genome Biology
#34
of 4,505 outputs
Outputs of similar age
#2,630
of 352,912 outputs
Outputs of similar age from Genome Biology
#1
of 84 outputs
Altmetric has tracked 25,711,518 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 4,505 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 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 352,912 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 84 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 98% of its contemporaries.