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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Genome-Wide Analysis of Transcription Factor-Binding Sites in Skeletal Muscle Cells Using ChIP-Seq.
|
|---|---|
| Chapter number | 4 |
| Book title |
Tiling Arrays
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-607-8_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-606-1, 978-1-62703-607-8
|
| Authors |
Chung-II An, Nobuko Hagiwara, An, Chung-II, Hagiwara, Nobuko |
| Abstract |
Transcriptional regulation of gene expression constitutes a fundamental mechanism of many developmental processes. Therefore, identification and characterization of binding sites of transcription factors are important for uncovering the mechanisms of a particular developmental process. Here, we describe detailed procedures for genome-wide analysis of binding sites of a transcription factor involved in the fiber-type differentiation of skeletal muscle. By conducting ChIP-seq followed by a series of downstream analyses, in-depth information on binding sites of transcription factors can be obtained in a genome-wide manner. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Norway | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Student > Doctoral Student | 2 | 29% |
| Unspecified | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Unspecified | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Sports and Recreations | 1 | 14% |
| Immunology and Microbiology | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
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 28 August 2013.
All research outputs
#14,175,799
of 22,719,618 outputs
Outputs from Methods in molecular biology
#4,164
of 13,079 outputs
Outputs of similar age
#167,544
of 280,759 outputs
Outputs of similar age from Methods in molecular biology
#156
of 341 outputs
Altmetric has tracked 22,719,618 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 13,079 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 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 52% of its contemporaries.