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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of viral genome assembly and diversity estimation in deep metagenomes
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-989 |
| Pubmed ID | |
| Authors |
Daniel Aguirre de Cárcer, Florent E Angly, Antonio Alcamí |
| Abstract |
Viruses have unique properties, small genome and regions of high similarity, whose effects on metagenomic assemblies have not been characterized so far. This study uses diverse in silico simulated viromes to evaluate how extensively genomes can be assembled using different sequencing platforms and assemblers. Further, it investigates the suitability of different methods to estimate viral diversity in metagenomes. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 36% |
| United Kingdom | 3 | 27% |
| Australia | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Italy | 1 | <1% |
| Turkey | 1 | <1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| Japan | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 106 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 28% |
| Researcher | 27 | 23% |
| Student > Master | 15 | 13% |
| Professor > Associate Professor | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 16 | 13% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 47% |
| Biochemistry, Genetics and Molecular Biology | 19 | 16% |
| Immunology and Microbiology | 9 | 8% |
| Computer Science | 7 | 6% |
| Environmental Science | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 17 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 July 2015.
All research outputs
#6,276,220
of 25,374,917 outputs
Outputs from BMC Genomics
#2,334
of 11,244 outputs
Outputs of similar age
#78,783
of 369,893 outputs
Outputs of similar age from BMC Genomics
#71
of 362 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 369,893 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 78% of its contemporaries.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.