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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of different assembly and annotation tools on analysis of simulated viral metagenomic communities in the gut
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-37 |
| Pubmed ID | |
| Authors |
Jorge F Vázquez-Castellanos, Rodrigo García-López, Vicente Pérez-Brocal, Miguel Pignatelli, Andrés Moya |
| Abstract |
The main limitations in the analysis of viral metagenomes are perhaps the high genetic variability and the lack of information in extant databases. To address these issues, several bioinformatic tools have been specifically designed or adapted for metagenomics by improving read assembly and creating more sensitive methods for homology detection. This study compares the performance of different available assemblers and taxonomic annotation software using simulated viral-metagenomic data. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| France | 1 | 11% |
| United States | 1 | 11% |
| Norway | 1 | 11% |
| Sweden | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| Brazil | 5 | 2% |
| United Kingdom | 4 | 1% |
| Spain | 2 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| Switzerland | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 245 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 81 | 30% |
| Researcher | 61 | 23% |
| Student > Master | 36 | 13% |
| Student > Bachelor | 17 | 6% |
| Student > Doctoral Student | 11 | 4% |
| Other | 38 | 14% |
| Unknown | 27 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 46% |
| Biochemistry, Genetics and Molecular Biology | 40 | 15% |
| Computer Science | 19 | 7% |
| Immunology and Microbiology | 15 | 6% |
| Medicine and Dentistry | 8 | 3% |
| Other | 27 | 10% |
| Unknown | 37 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 10 April 2014.
All research outputs
#2,639,114
of 23,106,390 outputs
Outputs from BMC Genomics
#853
of 10,709 outputs
Outputs of similar age
#32,296
of 306,746 outputs
Outputs of similar age from BMC Genomics
#49
of 444 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,709 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 306,746 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 444 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.