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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Primer Extension, Capture, and On-Bead cDNA Ligation: An Efficient RNAseq Library Prep Method for Determining Reverse Transcription Termination Sites
|
|---|---|
| Chapter number | 16 |
| Book title |
Next Generation Sequencing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7514-3_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7512-9, 978-1-4939-7514-3
|
| Authors |
Phillip Ordoukhanian, Jessica Nichols, Steven R. Head |
| Abstract |
In this chapter, we describe a method for making Illumina-compatible sequencing libraries from RNA. This protocol can be used for standard RNAseq analysis for detecting differentially expressed genes. In addition, this protocol is ideally suited for adapting to RIPseq, 5'-RACE, RNA structural probing, nascent RNA sequencing, and other protocols where polymerase termination sites need to be profiled. The utilization of solid-phase bead chemistries facilitates simple workflow and efficient library yields. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 36% |
| Student > Master | 2 | 14% |
| Librarian | 1 | 7% |
| Other | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 50% |
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Computer Science | 1 | 7% |
| Unspecified | 1 | 7% |
| Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 15 December 2017.
All research outputs
#3,573,217
of 23,011,300 outputs
Outputs from Methods in molecular biology
#848
of 13,157 outputs
Outputs of similar age
#77,905
of 442,319 outputs
Outputs of similar age from Methods in molecular biology
#65
of 1,498 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 442,319 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 82% of its contemporaries.
We're also able to compare this research output to 1,498 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 95% of its contemporaries.