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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms
|
|---|---|
| Published in |
Biology Direct, August 2018
|
| DOI | 10.1186/s13062-018-0220-y |
| Pubmed ID | |
| Authors |
Yuyang Qiao, Ben Jia, Zhiqiang Hu, Chen Sun, Yijin Xiang, Chaochun Wei |
| Abstract |
Many methods have been developed for metagenomic sequence classification, and most of them depend heavily on genome sequences of the known organisms. A large portion of sequencing sequences may be classified as unknown, which greatly impairs our understanding of the whole sample. Here we present MetaBinG2, a fast method for metagenomic sequence classification, especially for samples with a large number of unknown organisms. MetaBinG2 is based on sequence composition, and uses GPUs to accelerate its speed. A million 100 bp Illumina sequences can be classified in about 1 min on a computer with one GPU card. We evaluated MetaBinG2 by comparing it to multiple popular existing methods. We then applied MetaBinG2 to the dataset of MetaSUB Inter-City Challenge provided by CAMDA data analysis contest and compared community composition structures for environmental samples from different public places across cities. Compared to existing methods, MetaBinG2 is fast and accurate, especially for those samples with significant proportions of unknown organisms. This article was reviewed by Drs. Eran Elhaik, Nicolas Rascovan, and Serghei Mangul. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 15% |
| France | 1 | 8% |
| United States | 1 | 8% |
| Netherlands | 1 | 8% |
| Sweden | 1 | 8% |
| Norway | 1 | 8% |
| India | 1 | 8% |
| Vietnam | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 46% |
| Members of the public | 6 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Master | 4 | 15% |
| Professor | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Other | 7 | 27% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 31% |
| Agricultural and Biological Sciences | 7 | 27% |
| Computer Science | 3 | 12% |
| Immunology and Microbiology | 3 | 12% |
| Environmental Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 February 2019.
All research outputs
#4,756,816
of 23,498,099 outputs
Outputs from Biology Direct
#181
of 494 outputs
Outputs of similar age
#90,405
of 335,047 outputs
Outputs of similar age from Biology Direct
#3
of 5 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 494 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 63% 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 335,047 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.