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Divergent neuronal DNA methylation patterns across human cortical development reveal critical periods and a unique role of CpH methylation

Overview of attention for article published in Genome Biology, September 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
twitter
42 X users

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Divergent neuronal DNA methylation patterns across human cortical development reveal critical periods and a unique role of CpH methylation
Published in
Genome Biology, September 2019
DOI 10.1186/s13059-019-1805-1
Pubmed ID
Authors

Amanda J. Price, Leonardo Collado-Torres, Nikolay A. Ivanov, Wei Xia, Emily E. Burke, Joo Heon Shin, Ran Tao, Liang Ma, Yankai Jia, Thomas M. Hyde, Joel E. Kleinman, Daniel R. Weinberger, Andrew E. Jaffe

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 13 14%
Student > Bachelor 8 9%
Student > Master 5 5%
Student > Doctoral Student 4 4%
Other 12 13%
Unknown 28 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 26%
Neuroscience 12 13%
Agricultural and Biological Sciences 7 8%
Medicine and Dentistry 4 4%
Nursing and Health Professions 3 3%
Other 10 11%
Unknown 31 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 22 April 2022.
All research outputs
#1,227,116
of 25,506,250 outputs
Outputs from Genome Biology
#922
of 4,484 outputs
Outputs of similar age
#26,281
of 358,244 outputs
Outputs of similar age from Genome Biology
#27
of 68 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 358,244 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 92% of its contemporaries.
We're also able to compare this research output to 68 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 61% of its contemporaries.