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Cell Lineage Analysis in Human Brain Using Endogenous Retroelements

Overview of attention for article published in Neuron, January 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
30 X users
patent
2 patents
facebook
1 Facebook page
googleplus
8 Google+ users

Citations

dimensions_citation
229 Dimensions

Readers on

mendeley
287 Mendeley
citeulike
3 CiteULike
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Title
Cell Lineage Analysis in Human Brain Using Endogenous Retroelements
Published in
Neuron, January 2015
DOI 10.1016/j.neuron.2014.12.028
Pubmed ID
Authors

Gilad D. Evrony, Eunjung Lee, Bhaven K. Mehta, Yuval Benjamini, Robert M. Johnson, Xuyu Cai, Lixing Yang, Psalm Haseley, Hillel S. Lehmann, Peter J. Park, Christopher A. Walsh

Abstract

Somatic mutations occur during brain development and are increasingly implicated as a cause of neurogenetic disease. However, the patterns in which somatic mutations distribute in the human brain are unknown. We used high-coverage whole-genome sequencing of single neurons from a normal individual to identify spontaneous somatic mutations as clonal marks to track cell lineages in human brain. Somatic mutation analyses in >30 locations throughout the nervous system identified multiple lineages and sublineages of cells marked by different LINE-1 (L1) retrotransposition events and subsequent mutation of poly-A microsatellites within L1. One clone contained thousands of cells limited to the left middle frontal gyrus, whereas a second distinct clone contained millions of cells distributed over the entire left hemisphere. These patterns mirror known somatic mutation disorders of brain development and suggest that focally distributed mutations are also prevalent in normal brains. Single-cell analysis of somatic mutation enables tracing of cell lineage clones in human brain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
United Kingdom 2 <1%
France 1 <1%
Japan 1 <1%
China 1 <1%
Unknown 276 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 24%
Student > Ph. D. Student 67 23%
Student > Bachelor 19 7%
Student > Master 18 6%
Student > Doctoral Student 17 6%
Other 49 17%
Unknown 49 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 81 28%
Agricultural and Biological Sciences 79 28%
Neuroscience 36 13%
Medicine and Dentistry 14 5%
Computer Science 5 2%
Other 22 8%
Unknown 50 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 15 February 2024.
All research outputs
#643,995
of 25,385,509 outputs
Outputs from Neuron
#1,172
of 9,546 outputs
Outputs of similar age
#8,006
of 359,605 outputs
Outputs of similar age from Neuron
#19
of 116 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.2. This one has done well, scoring higher than 87% 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 359,605 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 97% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.