↓ Skip to main content

A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data

Overview of attention for article published in Biology Direct, February 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
5 X users
googleplus
1 Google+ user

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
159 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data
Published in
Biology Direct, February 2014
DOI 10.1186/1745-6150-9-4
Pubmed ID
Authors

Ngoc Tam L Tran, Chun-Hsi Huang

Abstract

ChIP-Seq (chromatin immunoprecipitation sequencing) has provided the advantage for finding motifs as ChIP-Seq experiments narrow down the motif finding to binding site locations. Recent motif finding tools facilitate the motif detection by providing user-friendly Web interface. In this work, we reviewed nine motif finding Web tools that are capable for detecting binding site motifs in ChIP-Seq data. We showed each motif finding Web tool has its own advantages for detecting motifs that other tools may not discover. We recommended the users to use multiple motif finding Web tools that implement different algorithms for obtaining significant motifs, overlapping resemble motifs, and non-overlapping motifs. Finally, we provided our suggestions for future development of motif finding Web tool that better assists researchers for finding motifs in ChIP-Seq data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
Sweden 1 <1%
France 1 <1%
China 1 <1%
United Kingdom 1 <1%
Unknown 151 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 27%
Researcher 34 21%
Student > Master 24 15%
Student > Bachelor 13 8%
Student > Doctoral Student 11 7%
Other 17 11%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 36%
Biochemistry, Genetics and Molecular Biology 48 30%
Computer Science 18 11%
Engineering 7 4%
Medicine and Dentistry 3 2%
Other 5 3%
Unknown 20 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2014.
All research outputs
#7,960,512
of 25,374,647 outputs
Outputs from Biology Direct
#254
of 537 outputs
Outputs of similar age
#73,004
of 238,973 outputs
Outputs of similar age from Biology Direct
#1
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 238,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them