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Histone modifications involved in cassette exon inclusions: a quantitative and interpretable analysis

Overview of attention for article published in BMC Genomics, December 2014
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Title
Histone modifications involved in cassette exon inclusions: a quantitative and interpretable analysis
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1148
Pubmed ID
Authors

Hui Liu, Ting Jin, Jihong Guan, Shuigeng Zhou

Abstract

Chromatin structure and epigenetic modifications have been shown to involve in the co-transcriptional splicing of RNA precursors. In particular, some studies have suggested that some types of histone modifications (HMs) may participate in the alternative splicing and function as exon marks. However, most existing studies pay attention to the qualitative relationship between epigenetic modifications and exon inclusion. The quantitative analysis that reveals to what extent each type of epigenetic modification is responsible for exon inclusion is very helpful for us to understand the splicing process.

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Ph. D. Student 5 20%
Student > Bachelor 3 12%
Student > Master 3 12%
Other 2 8%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 3 12%
Computer Science 3 12%
Medicine and Dentistry 3 12%
Engineering 2 8%
Other 0 0%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 December 2014.
All research outputs
#15,313,289
of 22,775,504 outputs
Outputs from BMC Genomics
#6,684
of 10,642 outputs
Outputs of similar age
#208,899
of 353,125 outputs
Outputs of similar age from BMC Genomics
#151
of 238 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 353,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 238 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.