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ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing

Overview of attention for article published in Genome Biology (Online Edition), January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
3 tweeters
patent
2 patents
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
q&a
1 Q&A thread

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
553 Mendeley
citeulike
9 CiteULike
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Title
ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing
Published in
Genome Biology (Online Edition), January 2010
DOI 10.1186/gb-2010-11-2-r22
Pubmed ID
Authors

Guoliang Li, Melissa J Fullwood, Han Xu, Fabianus Hendriyan Mulawadi, Stoyan Velkov, Vinsensius Vega, Pramila Nuwantha Ariyaratne, Yusoff Bin Mohamed, Hong-Sain Ooi, Chandana Tennakoon, Chia-Lin Wei, Yijun Ruan, Wing-Kin Sung

Abstract

Chromatin interaction analysis with paired-end tag sequencing (ChIA-PET) is a new technology to study genome-wide long-range chromatin interactions bound by protein factors. Here we present ChIA-PET Tool, a software package for automatic processing of ChIA-PET sequence data, including linker filtering, mapping tags to reference genomes, identifying protein binding sites and chromatin interactions, and displaying the results on a graphical genome browser. ChIA-PET Tool is fast, accurate, comprehensive, user-friendly, and open source (available at http://chiapet.gis.a-star.edu.sg).

Twitter Demographics

The data shown below were collected from the profiles of 3 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 553 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 3%
United Kingdom 5 <1%
Germany 5 <1%
Denmark 4 <1%
Japan 3 <1%
Netherlands 2 <1%
Spain 2 <1%
France 2 <1%
China 1 <1%
Other 8 1%
Unknown 503 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 32%
Researcher 150 27%
Student > Master 62 11%
Student > Bachelor 37 7%
Professor > Associate Professor 24 4%
Other 69 12%
Unknown 34 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 316 57%
Biochemistry, Genetics and Molecular Biology 125 23%
Computer Science 32 6%
Medicine and Dentistry 16 3%
Engineering 6 1%
Other 16 3%
Unknown 42 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 July 2021.
All research outputs
#2,227,182
of 19,982,192 outputs
Outputs from Genome Biology (Online Edition)
#1,866
of 3,893 outputs
Outputs of similar age
#22,155
of 243,366 outputs
Outputs of similar age from Genome Biology (Online Edition)
#81
of 192 outputs
Altmetric has tracked 19,982,192 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has gotten more attention than average, scoring higher than 51% 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 243,366 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 192 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 58% of its contemporaries.