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Intronic Non-CG DNA hydroxymethylation and alternative mRNA splicing in honey bees

Overview of attention for article published in BMC Genomics, September 2013
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Title
Intronic Non-CG DNA hydroxymethylation and alternative mRNA splicing in honey bees
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-666
Pubmed ID
Authors

Pablo Cingolani, Xiaoyi Cao, Radhika S Khetani, Chieh-Chun Chen, Melissa Coon, Alya’a Sammak, Aliccia Bollig-Fischer, Susan Land, Yun Huang, Matthew E Hudson, Mark D Garfinkel, Sheng Zhong, Gene E Robinson, Douglas M Ruden

Abstract

Previous whole-genome shotgun bisulfite sequencing experiments showed that DNA cytosine methylation in the honey bee (Apis mellifera) is almost exclusively at CG dinucleotides in exons. However, the most commonly used method, bisulfite sequencing, cannot distinguish 5-methylcytosine from 5-hydroxymethylcytosine, an oxidized form of 5-methylcytosine that is catalyzed by the TET family of dioxygenases. Furthermore, some analysis software programs under-represent non-CG DNA methylation and hydryoxymethylation for a variety of reasons. Therefore, we used an unbiased analysis of bisulfite sequencing data combined with molecular and bioinformatics approaches to distinguish 5-methylcytosine from 5-hydroxymethylcytosine. By doing this, we have performed the first whole genome analyses of DNA modifications at non-CG sites in honey bees and correlated the effects of these DNA modifications on gene expression and alternative mRNA splicing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Japan 1 1%
Sweden 1 1%
Unknown 89 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 30%
Researcher 21 22%
Student > Master 10 11%
Student > Postgraduate 5 5%
Student > Bachelor 4 4%
Other 10 11%
Unknown 16 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 41%
Biochemistry, Genetics and Molecular Biology 21 22%
Neuroscience 5 5%
Medicine and Dentistry 2 2%
Computer Science 1 1%
Other 7 7%
Unknown 19 20%
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 26 October 2019.
All research outputs
#17,697,777
of 22,723,682 outputs
Outputs from BMC Genomics
#7,539
of 10,626 outputs
Outputs of similar age
#147,323
of 205,843 outputs
Outputs of similar age from BMC Genomics
#79
of 149 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 205,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.