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A computational approach for identifying microRNA-target interactions using high-throughput CLIP and PAR-CLIP sequencing

Overview of attention for article published in BMC Genomics, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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4 X users
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1 Facebook page

Citations

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53 Dimensions

Readers on

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110 Mendeley
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1 CiteULike
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Title
A computational approach for identifying microRNA-target interactions using high-throughput CLIP and PAR-CLIP sequencing
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-s1-s2
Pubmed ID
Authors

Chih-Hung Chou, Feng-Mao Lin, Min-Te Chou, Sheng-Da Hsu, Tzu-Hao Chang, Shun-Long Weng, Sirjana Shrestha, Chiung-Chih Hsiao, Jui-Hung Hung, Hsien-Da Huang

Abstract

MicroRNAs (miRNAs) play a critical role in down-regulating gene expression. By coupling with Argonaute family proteins, miRNAs bind to target sites on mRNAs and employ translational repression. A large amount of miRNA-target interactions (MTIs) have been identified by the crosslinking and immunoprecipitation (CLIP) and the photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) along with the next-generation sequencing (NGS). PAR-CLIP shows high efficiency of RNA co-immunoprecipitation, but it also lead to T to C conversion in miRNA-RNA-protein crosslinking regions. This artificial error obviously reduces the mappability of reads. However, a specific tool to analyze CLIP and PAR-CLIP data that takes T to C conversion into account is still in need.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
India 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Korea, Republic of 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 102 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 30%
Researcher 25 23%
Student > Master 13 12%
Student > Bachelor 9 8%
Professor 7 6%
Other 14 13%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 45%
Biochemistry, Genetics and Molecular Biology 21 19%
Computer Science 13 12%
Engineering 4 4%
Medicine and Dentistry 2 2%
Other 5 5%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 February 2017.
All research outputs
#12,870,383
of 22,696,971 outputs
Outputs from BMC Genomics
#4,548
of 10,616 outputs
Outputs of similar age
#150,600
of 279,305 outputs
Outputs of similar age from BMC Genomics
#167
of 368 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 279,305 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 368 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 53% of its contemporaries.