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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 (#46 of 226)
  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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2 X users
wikipedia
1 Wikipedia page

Citations

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11 Dimensions

Readers on

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42 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
Authors

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

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 6 14%
Student > Master 6 14%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 7 17%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 31%
Biochemistry, Genetics and Molecular Biology 8 19%
Unspecified 2 5%
Computer Science 2 5%
Nursing and Health Professions 1 2%
Other 3 7%
Unknown 13 31%
Attention Score in Context

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
#6,868,782
of 23,018,998 outputs
Outputs from Advances in biochemical engineering biotechnology
#46
of 226 outputs
Outputs of similar age
#137,917
of 442,354 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#2
of 7 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 226 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 442,354 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 68% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.