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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data
|
|---|---|
| Published in |
Genome Biology, June 2016
|
| DOI | 10.1186/s13059-016-0992-2 |
| Pubmed ID | |
| Authors |
Jonathan Cairns, Paula Freire-Pritchett, Steven W. Wingett, Csilla Várnai, Andrew Dimond, Vincent Plagnol, Daniel Zerbino, Stefan Schoenfelder, Biola-Maria Javierre, Cameron Osborne, Peter Fraser, Mikhail Spivakov |
| Abstract |
Capture Hi-C (CHi-C) is a method for profiling chromosomal interactions involving targeted regions of interest, such as gene promoters, globally and at high resolution. Signal detection in CHi-C data involves a number of statistical challenges that are not observed when using other Hi-C-like techniques. We present a background model and algorithms for normalisation and multiple testing that are specifically adapted to CHi-C experiments. We implement these procedures in CHiCAGO ( http://regulatorygenomicsgroup.org/chicago ), an open-source package for robust interaction detection in CHi-C. We validate CHiCAGO by showing that promoter-interacting regions detected with this method are enriched for regulatory features and disease-associated SNPs. |
X Demographics
The data shown below were collected from the profiles of 57 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 | 16 | 28% |
| United States | 4 | 7% |
| Netherlands | 3 | 5% |
| Denmark | 2 | 4% |
| Spain | 2 | 4% |
| Switzerland | 2 | 4% |
| Germany | 1 | 2% |
| China | 1 | 2% |
| Japan | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 20 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 34 | 60% |
| Members of the public | 22 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 441 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 1% |
| Germany | 2 | <1% |
| Japan | 2 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Sweden | 1 | <1% |
| Switzerland | 1 | <1% |
| Lithuania | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 424 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 106 | 24% |
| Researcher | 81 | 18% |
| Student > Bachelor | 45 | 10% |
| Student > Master | 35 | 8% |
| Student > Doctoral Student | 23 | 5% |
| Other | 61 | 14% |
| Unknown | 90 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 145 | 33% |
| Agricultural and Biological Sciences | 131 | 30% |
| Computer Science | 21 | 5% |
| Medicine and Dentistry | 17 | 4% |
| Engineering | 8 | 2% |
| Other | 23 | 5% |
| Unknown | 96 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 07 November 2017.
All research outputs
#999,252
of 25,371,288 outputs
Outputs from Genome Biology
#712
of 4,467 outputs
Outputs of similar age
#19,067
of 367,833 outputs
Outputs of similar age from Genome Biology
#13
of 81 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% 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 84% 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 367,833 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 94% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.