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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ChIPseek, a web-based analysis tool for ChIP data
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-539 |
| Pubmed ID | |
| Authors |
Ting-Wen Chen, Hsin-Pai Li, Chi-Ching Lee, Ruei-Chi Gan, Po-Jung Huang, Timothy H Wu, Cheng-Yang Lee, Yi-Feng Chang, Petrus Tang |
| Abstract |
Chromatin is a dynamic but highly regulated structure. DNA-binding proteins such as transcription factors, epigenetic and chromatin modifiers are responsible for regulating specific gene expression pattern and may result in different phenotypes. To reveal the identity of the proteins associated with the specific region on DNA, chromatin immunoprecipitation (ChIP) is the most widely used technique. ChIP assay followed by next generation sequencing (ChIP-seq) or microarray (ChIP-chip) is often used to study patterns of protein-binding profiles in different cell types and in cancer samples on a genome-wide scale. However, only a limited number of bioinformatics tools are available for ChIP datasets analysis. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 28% |
| Researcher | 13 | 17% |
| Student > Bachelor | 8 | 11% |
| Professor | 6 | 8% |
| Student > Master | 5 | 7% |
| Other | 13 | 17% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 36% |
| Biochemistry, Genetics and Molecular Biology | 24 | 32% |
| Medicine and Dentistry | 4 | 5% |
| Computer Science | 3 | 4% |
| Environmental Science | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 13 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 June 2023.
All research outputs
#7,022,325
of 24,891,087 outputs
Outputs from BMC Genomics
#2,894
of 11,100 outputs
Outputs of similar age
#62,144
of 232,598 outputs
Outputs of similar age from BMC Genomics
#48
of 200 outputs
Altmetric has tracked 24,891,087 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,100 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 232,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.