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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Use Model-Based Analysis of ChIP-Seq (MACS) to Analyze Short Reads Generated by Sequencing Protein-DNA Interactions in Embryonic Stem Cells.
|
|---|---|
| Chapter number | 4 |
| Book title |
Stem Cell Transcriptional Networks
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-0512-6_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0511-9, 978-1-4939-0512-6
|
| Authors |
Tao Liu, Liu, Tao |
| Abstract |
Model-based Analysis of ChIP-Seq (MACS) is a computational algorithm for identifying genome-wide protein-DNA interaction from ChIP-Seq data. MACS combines multiple modules to process aligned ChIP-Seq reads for either transcription factor or histone modification by removing redundant reads, estimating fragment length, building signal profile, calculating peak enrichment, and refining and reporting peak calls. In this protocol, we provide a detailed demonstration of how to apply MACS to analyze ChIP-Seq datasets related to protein-DNA interactions in embryonic stem cells (ES cells). Instruction on how to interpret and visualize the results is also provided. MACS is an open-source and is available from http://github.com/taoliu/MACS. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 25% |
| Researcher | 18 | 24% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 7% |
| Student > Master | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 31% |
| Biochemistry, Genetics and Molecular Biology | 20 | 27% |
| Immunology and Microbiology | 3 | 4% |
| Engineering | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 18 | 24% |
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 15 December 2014.
All research outputs
#14,780,011
of 22,754,104 outputs
Outputs from Methods in molecular biology
#4,670
of 13,089 outputs
Outputs of similar age
#183,068
of 305,238 outputs
Outputs of similar age from Methods in molecular biology
#182
of 597 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 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 59% 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 305,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 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 67% of its contemporaries.