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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Sequencing of Genomes from Environmental Single Cells
|
|---|---|
| Chapter number | 8 |
| Book title |
Next Generation Sequencing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7514-3_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7512-9, 978-1-4939-7514-3
|
| Authors |
Robert M. Bowers, Janey Lee, Tanja Woyke, Bowers, Robert M., Lee, Janey, Woyke, Tanja |
| Abstract |
Sequencing of single bacterial and archaeal cells is an important methodology that provides access to the genetic makeup of uncultivated microorganisms. We here describe the high-throughput fluorescence-activated cell sorting-based isolation of single cells from the environment, their lysis and strand displacement-mediated whole genome amplification. We further outline 16S rRNA gene sequence-based screening of single-cell amplification products, their preparation for Illumina sequencing libraries, and finally propose computational methods for read and contig level quality control of the resulting sequence data. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Austria | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Master | 4 | 18% |
| Professor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Lecturer | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 36% |
| Agricultural and Biological Sciences | 6 | 27% |
| Environmental Science | 1 | 5% |
| Neuroscience | 1 | 5% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 31 July 2018.
All research outputs
#3,236,088
of 24,885,505 outputs
Outputs from Methods in molecular biology
#643
of 13,981 outputs
Outputs of similar age
#69,757
of 454,089 outputs
Outputs of similar age from Methods in molecular biology
#37
of 1,485 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,981 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 454,089 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 84% of its contemporaries.
We're also able to compare this research output to 1,485 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.