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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
CLIP-Seq to Discover Transcriptome-Wide Imprinting of RNA Binding Proteins in Living Cells.
|
|---|---|
| Chapter number | 14 |
| Book title |
Small Non-Coding RNAs
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2547-6_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2546-9, 978-1-4939-2547-6
|
| Authors |
Jérôme Saulière, Hervé Le Hir, Saulière, Jérôme, Le Hir, Hervé |
| Abstract |
UV cross-linking and immunoprecipitation coupled to high-throughput sequencing (CLIP-seq) is used to characterize RNA targets of RNA binding proteins (RBP) in a large scale manner. This powerful method allows the stringent purification of direct RNA binding sites of RBPs in living cells. Here, we describe in detail the protocol we employed to identify RNA targets of the human RNA helicase eIF4AIII. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 36% |
| Student > Ph. D. Student | 3 | 27% |
| Professor | 2 | 18% |
| Unspecified | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 55% |
| Unspecified | 1 | 9% |
| Computer Science | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
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 22 March 2015.
All research outputs
#15,327,280
of 22,796,179 outputs
Outputs from Methods in molecular biology
#5,331
of 13,111 outputs
Outputs of similar age
#208,932
of 353,053 outputs
Outputs of similar age from Methods in molecular biology
#343
of 996 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,111 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 44th percentile – i.e., 44% 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 353,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.