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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MAnorm: a robust model for quantitative comparison of ChIP-Seq data sets
|
|---|---|
| Published in |
Genome Biology, March 2012
|
| DOI | 10.1186/gb-2012-13-3-r16 |
| Pubmed ID | |
| Authors |
Zhen Shao, Yijing Zhang, Guo-Cheng Yuan, Stuart H Orkin, David J Waxman |
| Abstract |
ChIP-Seq is widely used to characterize genome-wide binding patterns of transcription factors and other chromatin-associated proteins. Although comparison of ChIP-Seq data sets is critical for understanding cell type-dependent and cell state-specific binding, and thus the study of cell-specific gene regulation, few quantitative approaches have been developed. Here, we present a simple and effective method, MAnorm, for quantitative comparison of ChIP-Seq data sets describing transcription factor binding sites and epigenetic modifications. The quantitative binding differences inferred by MAnorm showed strong correlation with both the changes in expression of target genes and the binding of cell type-specific regulators. |
X Demographics
The data shown below were collected from the profiles of 11 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 States | 3 | 27% |
| United Kingdom | 2 | 18% |
| Germany | 1 | 9% |
| France | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 480 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 3% |
| United Kingdom | 6 | 1% |
| France | 3 | <1% |
| Italy | 3 | <1% |
| China | 3 | <1% |
| Germany | 3 | <1% |
| Japan | 2 | <1% |
| Sweden | 1 | <1% |
| Australia | 1 | <1% |
| Other | 11 | 2% |
| Unknown | 435 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 154 | 32% |
| Student > Ph. D. Student | 116 | 24% |
| Student > Master | 48 | 10% |
| Professor > Associate Professor | 26 | 5% |
| Student > Bachelor | 20 | 4% |
| Other | 64 | 13% |
| Unknown | 52 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 242 | 50% |
| Biochemistry, Genetics and Molecular Biology | 99 | 21% |
| Computer Science | 21 | 4% |
| Immunology and Microbiology | 10 | 2% |
| Engineering | 10 | 2% |
| Other | 36 | 8% |
| Unknown | 62 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 08 June 2023.
All research outputs
#1,320,080
of 25,374,647 outputs
Outputs from Genome Biology
#1,028
of 4,467 outputs
Outputs of similar age
#6,825
of 170,511 outputs
Outputs of similar age from Genome Biology
#9
of 46 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 76% 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 170,511 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.