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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep Sequencing of Small Chromatin-Associated RNA: Bioinformatic Analysis.
|
|---|---|
| Chapter number | 28 |
| Book title |
Functional Analysis of DNA and Chromatin
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-62703-706-8_28 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-705-1, 978-1-62703-706-8
|
| Authors |
Sarah Daniela Diermeier, Gernot Längst, Diermeier, Sarah Daniela, Längst, Gernot |
| Abstract |
Chromatin-associated RNA (caRNA) is a newly identified class of RNA stably linked to chromatin and responsible for maintaining the higher order structure of euchromatic regions in an accessible form (Schubert et al., Mol Cell 48, 434 - 444, 2012). This section provides a pipeline of bioinformatic analysis for this specific type of RNA-Seq. It can be run locally by combining several scripts or be carried out on the Galaxy platform (Giardine et al., Genome Res 15:1451-1455, 2005). |
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 % |
|---|---|---|
| India | 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| Unknown | 7 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 22% |
| Student > Ph. D. Student | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 56% |
| Social Sciences | 1 | 11% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 November 2013.
All research outputs
#14,181,583
of 22,729,647 outputs
Outputs from Methods in molecular biology
#4,165
of 13,086 outputs
Outputs of similar age
#173,572
of 305,158 outputs
Outputs of similar age from Methods in molecular biology
#166
of 594 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,086 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 305,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 594 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 69% of its contemporaries.