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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
ClickSeq: Replacing Fragmentation and Enzymatic Ligation with Click-Chemistry to Prevent Sequence Chimeras
|
|---|---|
| Chapter number | 6 |
| Book title |
Next Generation Sequencing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7514-3_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7512-9, 978-1-4939-7514-3
|
| Authors |
Elizabeth Jaworski, Andrew Routh |
| Abstract |
We recently reported a fragmentation-free method for the synthesis of Next-Generation Sequencing libraries called "ClickSeq" that uses biorthogonal click-chemistry in place of enzymes for the ligation of sequencing adaptors. We found that this approach dramatically reduces artifactual chimera formation, allowing the study of rare recombination events that include viral replication intermediates and defective-interfering viral RNAs. ClickSeq illustrates how robust, bio-orthogonal chemistry can be harnessed in vitro to capture and dissect complex biological processes. Here, we describe an updated protocol for the synthesis of "ClickSeq" libraries. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 5 | 63% |
| United Kingdom | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 41% |
| Student > Ph. D. Student | 4 | 24% |
| Student > Postgraduate | 2 | 12% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 59% |
| Chemistry | 3 | 18% |
| Immunology and Microbiology | 1 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Unknown | 2 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 08 December 2018.
All research outputs
#2,751,303
of 25,026,088 outputs
Outputs from Methods in molecular biology
#497
of 14,087 outputs
Outputs of similar age
#60,308
of 454,475 outputs
Outputs of similar age from Methods in molecular biology
#26
of 1,484 outputs
Altmetric has tracked 25,026,088 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,087 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 454,475 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 86% of its contemporaries.
We're also able to compare this research output to 1,484 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 98% of its contemporaries.