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Cistrome: an integrative platform for transcriptional regulation studies

Overview of attention for article published in Genome Biology, August 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
4 blogs
twitter
6 X users
patent
6 patents
wikipedia
5 Wikipedia pages
googleplus
3 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
609 Dimensions

Readers on

mendeley
450 Mendeley
citeulike
13 CiteULike
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Title
Cistrome: an integrative platform for transcriptional regulation studies
Published in
Genome Biology, August 2011
DOI 10.1186/gb-2011-12-8-r83
Pubmed ID
Authors

Tao Liu, Jorge A Ortiz, Len Taing, Clifford A Meyer, Bernett Lee, Yong Zhang, Hyunjin Shin, Swee S Wong, Jian Ma, Ying Lei, Utz J Pape, Michael Poidinger, Yiwen Chen, Kevin Yeung, Myles Brown, Yaron Turpaz, X Shirley Liu

Abstract

The increasing volume of ChIP-chip and ChIP-seq data being generated creates a challenge for standard, integrative and reproducible bioinformatics data analysis platforms. We developed a web-based application called Cistrome, based on the Galaxy open source framework. In addition to the standard Galaxy functions, Cistrome has 29 ChIP-chip- and ChIP-seq-specific tools in three major categories, from preliminary peak calling and correlation analyses to downstream genome feature association, gene expression analyses, and motif discovery. Cistrome is available at http://cistrome.org/ap/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 4%
United Kingdom 5 1%
France 4 <1%
Italy 3 <1%
Germany 3 <1%
Hong Kong 1 <1%
Austria 1 <1%
Netherlands 1 <1%
Finland 1 <1%
Other 6 1%
Unknown 409 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 115 26%
Student > Ph. D. Student 112 25%
Student > Master 57 13%
Student > Bachelor 27 6%
Professor > Associate Professor 26 6%
Other 70 16%
Unknown 43 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 198 44%
Biochemistry, Genetics and Molecular Biology 116 26%
Medicine and Dentistry 29 6%
Computer Science 22 5%
Engineering 8 2%
Other 23 5%
Unknown 54 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 March 2024.
All research outputs
#974,213
of 26,017,215 outputs
Outputs from Genome Biology
#675
of 4,520 outputs
Outputs of similar age
#3,908
of 138,491 outputs
Outputs of similar age from Genome Biology
#3
of 45 outputs
Altmetric has tracked 26,017,215 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 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 85% 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 138,491 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 96% of its contemporaries.
We're also able to compare this research output to 45 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 93% of its contemporaries.