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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MOCAT2: a metagenomic assembly, annotation and profiling framework
|
|---|---|
| Published in |
Bioinformatics, April 2016
|
| DOI | 10.1093/bioinformatics/btw183 |
| Pubmed ID | |
| Authors |
Jens Roat Kultima, Luis Pedro Coelho, Kristoffer Forslund, Jaime Huerta-Cepas, Simone S. Li, Marja Driessen, Anita Yvonne Voigt, Georg Zeller, Shinichi Sunagawa, Peer Bork |
| Abstract |
MOCAT2 is a software pipeline for metagenomic sequence assembly and gene prediction with novel features for taxonomic and functional abundance profiling. The automated generation and efficient annotation of non-redundant reference catalogs by propagating pre-computed assignments from 18 databases covering various functional categories allows for fast and comprehensive functional characterization of metagenomes. MOCAT2 is implemented in Perl 5 and Python 2.7, designed for 64-bit UNIX systems and offers support for high-performance computer usage via LSF, PBS or SGE queuing systems; source code is freely available under the GPL3 license at http://mocat.embl.de CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 4 | 17% |
| Australia | 2 | 8% |
| France | 2 | 8% |
| China | 1 | 4% |
| New Zealand | 1 | 4% |
| Germany | 1 | 4% |
| Italy | 1 | 4% |
| Norway | 1 | 4% |
| Netherlands | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 50% |
| Scientists | 11 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 2% |
| United States | 4 | 1% |
| Switzerland | 2 | <1% |
| France | 2 | <1% |
| Canada | 1 | <1% |
| Taiwan | 1 | <1% |
| Australia | 1 | <1% |
| Denmark | 1 | <1% |
| Malta | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 276 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 24% |
| Researcher | 72 | 24% |
| Student > Master | 41 | 14% |
| Student > Bachelor | 19 | 6% |
| Student > Doctoral Student | 18 | 6% |
| Other | 37 | 13% |
| Unknown | 37 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 32% |
| Biochemistry, Genetics and Molecular Biology | 76 | 26% |
| Computer Science | 17 | 6% |
| Immunology and Microbiology | 14 | 5% |
| Environmental Science | 11 | 4% |
| Other | 35 | 12% |
| Unknown | 48 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 05 June 2019.
All research outputs
#915,600
of 24,885,505 outputs
Outputs from Bioinformatics
#233
of 12,263 outputs
Outputs of similar age
#16,217
of 306,839 outputs
Outputs of similar age from Bioinformatics
#5
of 166 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,263 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 98% 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 306,839 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 94% of its contemporaries.
We're also able to compare this research output to 166 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 97% of its contemporaries.