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Unveiling the hidden function of long non-coding RNA by identifying its major partner-protein

Overview of attention for article published in Cell & Bioscience, October 2015
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Unveiling the hidden function of long non-coding RNA by identifying its major partner-protein
Published in
Cell & Bioscience, October 2015
DOI 10.1186/s13578-015-0050-x
Pubmed ID
Authors

Yongfang Yang, Liwei Wen, Hongliang Zhu

Abstract

Tens of thousands of long non-coding RNAs (lncRNAs) have been discovered in eukarya, but their functions are largely unknown. Fortunately, lncRNA-protein interactions may offer details of how lncRNAs play important roles in various biological processes, thus identifying proteins associated with lncRNA is critical. Here we review progress of molecular archetypes that lncRNAs execute as guides, scaffolds, or decoys for protein, focusing on advantages, shortcomings and applications of various conventional and emerging technologies to probe lncRNAs and protein interactions, including protein-centric biochemistry approaches such as nRIP and CLIP, and RNA-centric biochemistry approaches such as ChIRP, CHART and RAP. Overall, this review provides strategies for probing interactions between lncRNAs and protein.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
Italy 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Taiwan 1 <1%
United States 1 <1%
Unknown 178 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 24%
Researcher 40 22%
Student > Master 21 11%
Student > Bachelor 15 8%
Student > Doctoral Student 12 6%
Other 28 15%
Unknown 25 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 34%
Agricultural and Biological Sciences 57 31%
Medicine and Dentistry 8 4%
Neuroscience 5 3%
Immunology and Microbiology 5 3%
Other 18 10%
Unknown 29 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 February 2016.
All research outputs
#14,827,133
of 22,830,751 outputs
Outputs from Cell & Bioscience
#357
of 930 outputs
Outputs of similar age
#156,631
of 283,279 outputs
Outputs of similar age from Cell & Bioscience
#5
of 13 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 930 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 57% 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 283,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.