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Population Epigenetics

Overview of attention for book
Attention for Chapter 263: Determining Epigenetic Targets: A Beginner's Guide to Identifying Genome Functionality Through Database Analysis.
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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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3 tweeters

Citations

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1 Dimensions

Readers on

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8 Mendeley
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Chapter title
Determining Epigenetic Targets: A Beginner's Guide to Identifying Genome Functionality Through Database Analysis.
Chapter number 263
Book title
Population Epigenetics
Published in
Methods in molecular biology, May 2015
DOI 10.1007/7651_2015_263
Pubmed ID
Book ISBNs
978-1-4939-6901-2, 978-1-4939-6903-6
Authors

Hay, Elizabeth A, Cowie, Philip, MacKenzie, Alasdair, Elizabeth A. Hay, Philip Cowie, Alasdair MacKenzie

Abstract

There can now be little doubt that the cis-regulatory genome represents the largest information source within the human genome essential for health. In addition to containing up to five times more information than the coding genome, the cis-regulatory genome also acts as a major reservoir of disease-associated polymorphic variation. The cis-regulatory genome, which is comprised of enhancers, silencers, promoters, and insulators, also acts as a major functional target for epigenetic modification including DNA methylation and chromatin modifications. These epigenetic modifications impact the ability of cis-regulatory sequences to maintain tissue-specific and inducible expression of genes that preserve health. There has been limited ability to identify and characterize the functional components of this huge and largely misunderstood part of the human genome that, for decades, was ignored as "Junk" DNA. In an attempt to address this deficit, the current chapter will first describe methods of identifying and characterizing functional elements of the cis-regulatory genome at a genome-wide level using databases such as ENCODE, the UCSC browser, and NCBI. We will then explore the databases on the UCSC genome browser, which provides access to DNA methylation and chromatin modification datasets. Finally, we will describe how we can superimpose the huge volume of study data contained in the NCBI archives onto that contained within the UCSC browser in order to glean relevant in vivo study data for any locus within the genome. An ability to access and utilize these information sources will become essential to informing the future design of experiments and subsequent determination of the role of epigenetics in health and disease and will form a critical step in our development of personalized medicine.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Student > Ph. D. Student 2 25%
Professor > Associate Professor 1 13%
Student > Master 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 50%
Agricultural and Biological Sciences 3 38%
Unknown 1 13%

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 31 May 2015.
All research outputs
#2,731,029
of 5,168,589 outputs
Outputs from Methods in molecular biology
#1,172
of 4,013 outputs
Outputs of similar age
#98,618
of 174,281 outputs
Outputs of similar age from Methods in molecular biology
#19
of 107 outputs
Altmetric has tracked 5,168,589 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,013 research outputs from this source. They receive a mean Attention Score of 1.5. This one has gotten more attention than average, scoring higher than 56% 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 174,281 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 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 67% of its contemporaries.