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HiChIP: a high-throughput pipeline for integrative analysis of ChIP-Seq data

Overview of attention for article published in BMC Bioinformatics, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
11 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
140 Mendeley
citeulike
5 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
United Kingdom 4 3%
Italy 2 1%
Norway 1 <1%
France 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 124 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 26%
Researcher 26 19%
Student > Master 16 11%
Student > Bachelor 10 7%
Other 10 7%
Other 25 18%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 39%
Biochemistry, Genetics and Molecular Biology 34 24%
Computer Science 12 9%
Medicine and Dentistry 5 4%
Immunology and Microbiology 3 2%
Other 14 10%
Unknown 18 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 August 2014.
All research outputs
#3,953,269
of 16,639,069 outputs
Outputs from BMC Bioinformatics
#1,548
of 5,985 outputs
Outputs of similar age
#42,503
of 203,367 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 6 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,985 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 203,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.