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Contribution of RdDM to the ecotype-specific differential methylation on conserved as well as highly variable regions between Arabidopsis ecotypes

Overview of attention for article published in BMC Genomics, January 2023
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1 X user

Citations

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1 Dimensions

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10 Mendeley
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Title
Contribution of RdDM to the ecotype-specific differential methylation on conserved as well as highly variable regions between Arabidopsis ecotypes
Published in
BMC Genomics, January 2023
DOI 10.1186/s12864-023-09128-4
Pubmed ID
Authors

Jaehoon Lee, Sang-Yoon Shin, Sang-Kyu Lee, Kyunghyuk Park, Haechan Gill, Youbong Hyun, Choongwon Jeong, Jong-Seong Jeon, Chanseok Shin, Yeonhee Choi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Master 2 20%
Student > Postgraduate 1 10%
Unknown 4 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Biochemistry, Genetics and Molecular Biology 1 10%
Computer Science 1 10%
Chemistry 1 10%
Unknown 3 30%
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 20 January 2023.
All research outputs
#20,941,392
of 23,567,572 outputs
Outputs from BMC Genomics
#9,428
of 10,777 outputs
Outputs of similar age
#339,945
of 429,131 outputs
Outputs of similar age from BMC Genomics
#111
of 129 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 429,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.