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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IMP: a pipeline for reproducible reference-independent integrated metagenomic and metatranscriptomic analyses
|
|---|---|
| Published in |
Genome Biology, December 2016
|
| DOI | 10.1186/s13059-016-1116-8 |
| Pubmed ID | |
| Authors |
Shaman Narayanasamy, Yohan Jarosz, Emilie E. L. Muller, Anna Heintz-Buschart, Malte Herold, Anne Kaysen, Cédric C. Laczny, Nicolás Pinel, Patrick May, Paul Wilmes |
| Abstract |
Existing workflows for the analysis of multi-omic microbiome datasets are lab-specific and often result in sub-optimal data usage. Here we present IMP, a reproducible and modular pipeline for the integrated and reference-independent analysis of coupled metagenomic and metatranscriptomic data. IMP incorporates robust read preprocessing, iterative co-assembly, analyses of microbial community structure and function, automated binning, as well as genomic signature-based visualizations. The IMP-based data integration strategy enhances data usage, output volume, and output quality as demonstrated using relevant use-cases. Finally, IMP is encapsulated within a user-friendly implementation using Python and Docker. IMP is available at http://r3lab.uni.lu/web/imp/ (MIT license). |
X Demographics
The data shown below were collected from the profiles of 37 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 Kingdom | 5 | 14% |
| Luxembourg | 4 | 11% |
| United States | 4 | 11% |
| Netherlands | 2 | 5% |
| France | 2 | 5% |
| Canada | 1 | 3% |
| Switzerland | 1 | 3% |
| Ireland | 1 | 3% |
| Norway | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 21 | 57% |
| Members of the public | 14 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| Indonesia | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 275 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 23% |
| Researcher | 57 | 20% |
| Student > Master | 42 | 15% |
| Student > Bachelor | 20 | 7% |
| Student > Postgraduate | 15 | 5% |
| Other | 36 | 13% |
| Unknown | 49 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 26% |
| Biochemistry, Genetics and Molecular Biology | 63 | 22% |
| Environmental Science | 20 | 7% |
| Immunology and Microbiology | 18 | 6% |
| Computer Science | 14 | 5% |
| Other | 34 | 12% |
| Unknown | 61 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 71. 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 20 April 2022.
All research outputs
#614,659
of 26,017,215 outputs
Outputs from Genome Biology
#372
of 4,520 outputs
Outputs of similar age
#12,528
of 428,468 outputs
Outputs of similar age from Genome Biology
#14
of 67 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 91% 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 428,468 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 96% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.