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How neurons migrate: a dynamic in-silico model of neuronal migration in the developing cortex

Overview of attention for article published in BMC Systems Biology, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
3 tweeters
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
43 Mendeley
citeulike
1 CiteULike
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Title
How neurons migrate: a dynamic in-silico model of neuronal migration in the developing cortex
Published in
BMC Systems Biology, September 2011
DOI 10.1186/1752-0509-5-154
Pubmed ID
Authors

Yaki Setty, Chih-Chun Chen, Maria Secrier, Nikita Skoblov, Dimitrios Kalamatianos, Stephen Emmott, Setty Y, Chen CC, Secrier M, Skoblov N, Kalamatianos D, Emmott S

Abstract

Neuronal migration, the process by which neurons migrate from their place of origin to their final position in the brain, is a central process for normal brain development and function. Advances in experimental techniques have revealed much about many of the molecular components involved in this process. Notwithstanding these advances, how the molecular machinery works together to govern the migration process has yet to be fully understood. Here we present a computational model of neuronal migration, in which four key molecular entities, Lis1, DCX, Reelin and GABA, form a molecular program that mediates the migration process.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
India 1 2%
Germany 1 2%
Belgium 1 2%
United Kingdom 1 2%
Unknown 37 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 35%
Researcher 8 19%
Student > Master 5 12%
Student > Bachelor 4 9%
Other 2 5%
Other 5 12%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 47%
Biochemistry, Genetics and Molecular Biology 5 12%
Computer Science 4 9%
Medicine and Dentistry 3 7%
Psychology 2 5%
Other 5 12%
Unknown 4 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 June 2018.
All research outputs
#3,360,247
of 13,449,710 outputs
Outputs from BMC Systems Biology
#195
of 1,077 outputs
Outputs of similar age
#24,287
of 96,315 outputs
Outputs of similar age from BMC Systems Biology
#5
of 52 outputs
Altmetric has tracked 13,449,710 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,077 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 81% 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 96,315 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 74% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.