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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
RNA Amplification for Pseudogene Detection Using RNA-Seq.
|
|---|---|
| Chapter number | 9 |
| Book title |
Pseudogenes
|
| Published in |
Methods in molecular biology, April 2014
|
| DOI | 10.1007/978-1-4939-0835-6_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0834-9, 978-1-4939-0835-6
|
| Authors |
Tsoi SC, Dyck MK, Stephen C. M. Tsoi Ph.D., Michael K. Dyck, Stephen C. M. Tsoi, Tsoi, Stephen C. M., Dyck, Michael K. |
| Editors |
Laura Poliseno |
| Abstract |
Transcriptomic research using microarrays and RNA-Sequencing (RNA-seq) is now possible starting from minute biological samples, such as clinical specimens or embryos, due to the development of highly sensitive and reproducible cDNA synthesis methods. Here, we describe a quick method of RNA amplification and double-stranded cDNA synthesis starting with 10 ng of high-quality total RNA extracted from porcine embryos. The final product (double-stranded DNA) is adequate for the detection by RNA-seq of protein-coding transcripts, as well as of all the other classes of noncoding RNAs, including pseudogenes. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 60% |
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 2 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 May 2014.
All research outputs
#6,134,910
of 22,756,196 outputs
Outputs from Methods in molecular biology
#1,817
of 13,089 outputs
Outputs of similar age
#58,344
of 227,088 outputs
Outputs of similar age from Methods in molecular biology
#15
of 145 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 85% 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 227,088 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.