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Mendeley readers
Attention Score in Context
Chapter title |
RChIP-Seq: Chromatin-Associated RNA Sequencing in Developmentally Staged Mouse Testes
|
---|---|
Chapter number | 9 |
Book title |
Histone Variants
|
Published in |
Methods in molecular biology, August 2018
|
DOI | 10.1007/978-1-4939-8663-7_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8662-0, 978-1-4939-8663-7
|
Authors |
Tatiana A. Soboleva, David J. Tremethick |
Abstract |
Chromatin is a dynamic macromolecular structure comprised of histones and a wealth of non-histone proteins. Recently, it has become clear that RNA is also an integral component of chromatin playing an important role in regulating its structure and function. Central to the understanding of RNA function is the ability to identify and genomically map interactions between chromatin components and RNA.Here, we describe a new method, RChIP-seq (RNA-associated-Chromatin-Immuno Precipitation followed by next-generation sequencing) that allows the identification of RNA species that are directly bound to specific components of chromatin in the mouse testis. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 40% |
Colombia | 1 | 20% |
United Kingdom | 1 | 20% |
China | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 80% |
Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 14% |
Student > Bachelor | 1 | 14% |
Researcher | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 29% |
Agricultural and Biological Sciences | 1 | 14% |
Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2018.
All research outputs
#13,387,405
of 23,098,660 outputs
Outputs from Methods in molecular biology
#3,508
of 13,208 outputs
Outputs of similar age
#164,464
of 331,034 outputs
Outputs of similar age from Methods in molecular biology
#47
of 193 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% 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 331,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 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 73% of its contemporaries.