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Base-resolution DNA methylation landscape of zebrafish brain and liver

Overview of attention for article published in Genomics Data, October 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 482)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
twitter
3 X users

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mendeley
49 Mendeley
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2 CiteULike
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Article details
Title
Base-resolution DNA methylation landscape of zebrafish brain and liver
Published in
Genomics Data, October 2014
DOI 10.1016/j.gdata.2014.10.008
Pubmed ID
Authors
Abstract

Zebrafish (Danio rerio) is a vertebrate model organism that is widely used for studying a plethora of biological questions, including developmental processes, effects of external cues on phenotype, and human disease modeling. DNA methylation is an important epigenetic mechanism that contributes to gene regulation, and is prevalent in all vertebrates. Reduced representation bisulfite sequencing (RRBS) is a cost-effective technique to generate genome-wide DNA methylation maps and has been used in mammalian genomes (e.g., human, mouse and rat) but not in zebrafish. High-resolution DNA methylation data in zebrafish are limited: increased availability of such data will enable us to model and better understand the roles, causes and consequences of changes in DNA methylation. Here we present five high-resolution DNA methylation maps for wild-type zebrafish brain (two pooled male and two pooled female methylomes) and liver. These data were generated using the RRBS technique (includes 1.43 million CpG sites of zebrafish genome) on the Illumina HiSeq platform. Alignment to the reference genome was performed using the Zv9 genome assembly. To our knowledge, these datasets are the only RRBS datasets and base-resolution DNA methylation data available at this time for zebrafish brain and liver. These datasets could serve as a resource for future studies to document the functional role of DNA methylation in zebrafish. In addition, these datasets could be used as controls while performing analysis on treated samples.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 35%
Student > Master 8 16%
Researcher 7 14%
Student > Bachelor 6 12%
Other 3 6%
Other 6 12%
Unknown 2 4%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 29 59%
Biochemistry, Genetics and Molecular Biology 13 27%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Medicine and Dentistry 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 July 2016.
All research outputs
#2,620,848
of 28,833,811 outputs
Outputs from Genomics Data
#1
of 482 outputs
Outputs of similar age
#26,606
of 272,990 outputs
Outputs of similar age from Genomics Data
#1
of 33 outputs
Altmetric has tracked 28,833,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 482 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 99% 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 272,990 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.