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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Global and Quantitative Profiling of Polyadenylated RNAs Using PAS-seq.
|
|---|---|
| Chapter number | 16 |
| Book title |
Polyadenylation
|
| Published in |
Methods in molecular biology, March 2014
|
| DOI | 10.1007/978-1-62703-971-0_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-970-3, 978-1-62703-971-0
|
| Authors |
Yao C, Shi Y, Chengguo Yao, Yongsheng Shi |
| Abstract |
mRNA alternative polyadenylation (APA) has been increasingly recognized as a widespread and evolutionarily conserved mechanism for eukaryotic gene regulation. Here we describe a method called poly(A) site sequencing that can not only map RNA polyadenylation sites on a transcriptome level but also provide quantitative information on the relative abundance of polyadenylated RNAs. This method has been successfully used for both global APA analysis and digital gene expression profiling. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 27% |
| Professor > Associate Professor | 3 | 20% |
| Researcher | 3 | 20% |
| Student > Bachelor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 47% |
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Computer Science | 2 | 13% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 March 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from Methods in molecular biology
#7,861
of 13,088 outputs
Outputs of similar age
#160,973
of 221,377 outputs
Outputs of similar age from Methods in molecular biology
#48
of 146 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 221,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.