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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HiChIP: a high-throughput pipeline for integrative analysis of ChIP-Seq data
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-280 |
| Pubmed ID | |
| Authors |
Huihuang Yan, Jared Evans, Mike Kalmbach, Raymond Moore, Sumit Middha, Stanislav Luban, Liguo Wang, Aditya Bhagwate, Ying Li, Zhifu Sun, Xianfeng Chen, Jean-Pierre A Kocher |
| Abstract |
Chromatin immunoprecipitation (ChIP) followed by next-generation sequencing (ChIP-Seq) has been widely used to identify genomic loci of transcription factor (TF) binding and histone modifications. ChIP-Seq data analysis involves multiple steps from read mapping and peak calling to data integration and interpretation. It remains challenging and time-consuming to process large amounts of ChIP-Seq data derived from different antibodies or experimental designs using the same approach. To address this challenge, there is a need for a comprehensive analysis pipeline with flexible settings to accelerate the utilization of this powerful technology in epigenetics research. |
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% |
| France | 2 | 18% |
| India | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 73% |
| Members of the public | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 4 | 3% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 135 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 26% |
| Researcher | 26 | 17% |
| Student > Master | 18 | 12% |
| Student > Bachelor | 10 | 7% |
| Other | 10 | 7% |
| Other | 28 | 19% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 37% |
| Biochemistry, Genetics and Molecular Biology | 40 | 27% |
| Computer Science | 12 | 8% |
| Medicine and Dentistry | 5 | 3% |
| Immunology and Microbiology | 3 | 2% |
| Other | 13 | 9% |
| Unknown | 22 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 October 2023.
All research outputs
#2,197,872
of 25,163,238 outputs
Outputs from BMC Bioinformatics
#519
of 7,657 outputs
Outputs of similar age
#21,569
of 236,971 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 116 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,657 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 236,971 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 90% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.