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Mendeley readers
Attention Score in Context
| 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 |
| 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 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 | 38 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 34% |
| Researcher | 8 | 18% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Other | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 45% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Psychology | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
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
#7,047,316
of 25,373,627 outputs
Outputs from BMC Systems Biology
#217
of 1,132 outputs
Outputs of similar age
#39,973
of 143,260 outputs
Outputs of similar age from BMC Systems Biology
#7
of 52 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 143,260 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 71% 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 well, scoring higher than 86% of its contemporaries.