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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequencing platform and library preparation choices impact viral metagenomes
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-320 |
| Pubmed ID | |
| Authors |
Sergei A Solonenko, J César Ignacio-Espinoza, Adriana Alberti, Corinne Cruaud, Steven Hallam, Kostas Konstantinidis, Gene Tyson, Patrick Wincker, Matthew B Sullivan |
| Abstract |
Microbes drive the biogeochemistry that fuels the planet. Microbial viruses modulate their hosts directly through mortality and horizontal gene transfer, and indirectly by re-programming host metabolisms during infection. However, our ability to study these virus-host interactions is limited by methods that are low-throughput and heavily reliant upon the subset of organisms that are in culture. One way forward are culture-independent metagenomic approaches, but these novel methods are rarely rigorously tested, especially for studies of environmental viruses, air microbiomes, extreme environment microbiology and other areas with constrained sample amounts. Here we perform replicated experiments to evaluate Roche 454, Illumina HiSeq, and Ion Torrent PGM sequencing and library preparation protocols on virus metagenomes generated from as little as 10 pg of DNA. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 7 | 35% |
| Cameroon | 1 | 5% |
| Norway | 1 | 5% |
| Brazil | 1 | 5% |
| Canada | 1 | 5% |
| Hong Kong | 1 | 5% |
| Chile | 1 | 5% |
| Germany | 1 | 5% |
| North Macedonia | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 2 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 50% |
| Members of the public | 7 | 35% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| Brazil | 4 | 2% |
| United Kingdom | 3 | 1% |
| Spain | 3 | 1% |
| Chile | 1 | <1% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 233 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 27% |
| Student > Ph. D. Student | 63 | 24% |
| Student > Master | 31 | 12% |
| Professor > Associate Professor | 17 | 6% |
| Student > Postgraduate | 13 | 5% |
| Other | 46 | 17% |
| Unknown | 24 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 136 | 51% |
| Biochemistry, Genetics and Molecular Biology | 38 | 14% |
| Environmental Science | 14 | 5% |
| Immunology and Microbiology | 12 | 5% |
| Computer Science | 9 | 3% |
| Other | 22 | 8% |
| Unknown | 34 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 17 January 2023.
All research outputs
#2,439,844
of 25,711,518 outputs
Outputs from BMC Genomics
#628
of 11,306 outputs
Outputs of similar age
#19,946
of 206,313 outputs
Outputs of similar age from BMC Genomics
#15
of 173 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 206,313 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 90% of its contemporaries.
We're also able to compare this research output to 173 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 91% of its contemporaries.