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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data
|
|---|---|
| Published in |
Frontiers in Microbiology, March 2018
|
| DOI | 10.3389/fmicb.2018.00365 |
| Pubmed ID | |
| Authors |
Colin P. McNally, Alexander Eng, Cecilia Noecker, William C. Gagne-Maynard, Elhanan Borenstein |
| Abstract |
The abundance of both taxonomic groups and gene categories in microbiome samples can now be easily assayed via various sequencing technologies, and visualized using a variety of software tools. However, the assemblage of taxa in the microbiome and its gene content are clearly linked, and tools for visualizing the relationship between these two facets of microbiome composition and for facilitating exploratory analysis of their co-variation are lacking. Here we introduceBURRITO, a web tool for interactive visualization of microbiome multi-omic data with paired taxonomic and functional information. BURRITO simultaneously visualizes the taxonomic and functional compositions of multiple samples and dynamically highlights relationships between taxa and functions to capture the underlying structure of these data. Users can browse for taxa and functions of interest and interactively explore the share of each function attributed to each taxon across samples. BURRITO supports multiple input formats for taxonomic and metagenomic data, allows adjustment of data granularity, and can export generated visualizations as static publication-ready formatted figures. In this paper, we describe the functionality of BURRITO, and provide illustrative examples of its utility for visualizing various trends in the relationship between the composition of taxa and functions in complex microbiomes. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 27% |
| United Kingdom | 6 | 10% |
| Canada | 4 | 7% |
| Australia | 2 | 3% |
| France | 2 | 3% |
| India | 2 | 3% |
| Switzerland | 2 | 3% |
| Austria | 2 | 3% |
| Mexico | 2 | 3% |
| Other | 10 | 17% |
| Unknown | 12 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 30 | 50% |
| Members of the public | 29 | 48% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 179 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 26% |
| Student > Ph. D. Student | 41 | 23% |
| Student > Master | 21 | 12% |
| Student > Bachelor | 12 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Other | 29 | 16% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 30% |
| Biochemistry, Genetics and Molecular Biology | 29 | 16% |
| Environmental Science | 17 | 9% |
| Immunology and Microbiology | 14 | 8% |
| Computer Science | 13 | 7% |
| Other | 26 | 15% |
| Unknown | 26 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 September 2020.
All research outputs
#1,223,371
of 25,791,495 outputs
Outputs from Frontiers in Microbiology
#694
of 29,816 outputs
Outputs of similar age
#26,709
of 346,063 outputs
Outputs of similar age from Frontiers in Microbiology
#18
of 597 outputs
Altmetric has tracked 25,791,495 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 29,816 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 97% 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 346,063 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 92% of its contemporaries.
We're also able to compare this research output to 597 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 96% of its contemporaries.