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Plant Genetics and Molecular Biology

Overview of attention for book
Attention for Chapter 51: Epigenetics and Epigenomics of Plants
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About this Attention Score

  • Among the highest-scoring outputs from this source (#31 of 186)
  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

2 tweeters
1 Wikipedia page


6 Dimensions

Readers on

22 Mendeley
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Chapter title
Epigenetics and Epigenomics of Plants
Chapter number 51
Book title
Plant Genetics and Molecular Biology
Published in
Advances in biochemical engineering biotechnology, January 2018
DOI 10.1007/10_2017_51
Pubmed ID
Book ISBNs
978-3-31-991312-4, 978-3-31-991313-1

Chandra Bhan Yadav, Garima Pandey, Mehanathan Muthamilarasan, Manoj Prasad, Yadav, Chandra Bhan, Pandey, Garima, Muthamilarasan, Mehanathan, Prasad, Manoj


The genetic material DNA in association with histone proteins forms the complex structure called chromatin, which is prone to undergo modification through certain epigenetic mechanisms including cytosine DNA methylation, histone modifications, and small RNA-mediated methylation. Alterations in chromatin structure lead to inaccessibility of genomic DNA to various regulatory proteins such as transcription factors, which eventually modulates gene expression. Advancements in high-throughput sequencing technologies have provided the opportunity to study the epigenetic mechanisms at genome-wide levels. Epigenomic studies using high-throughput technologies will widen the understanding of mechanisms as well as functions of regulatory pathways in plant genomes, which will further help in manipulating these pathways using genetic and biochemical approaches. This technology could be a potential research tool for displaying the systematic associations of genetic and epigenetic variations, especially in terms of cytosine methylation onto the genomic region in a specific cell or tissue. A comprehensive study of plant populations to correlate genotype to epigenotype and to phenotype, and also the study of methyl quantitative trait loci (QTL) or epiGWAS, is possible by using high-throughput sequencing methods, which will further accelerate molecular breeding programs for crop improvement. Graphical Abstract.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Bachelor 3 14%
Student > Doctoral Student 2 9%
Researcher 2 9%
Student > Master 2 9%
Other 4 18%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Biochemistry, Genetics and Molecular Biology 6 27%
Computer Science 2 9%
Unspecified 1 5%
Unknown 6 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 May 2018.
All research outputs
of 12,926,183 outputs
Outputs from Advances in biochemical engineering biotechnology
of 186 outputs
Outputs of similar age
of 344,824 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
of 9 outputs
Altmetric has tracked 12,926,183 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 186 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 82% 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 344,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.