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Drosophilaas a genetic and cellular model for studies on axonal growth

Overview of attention for article published in Neural Development, May 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 231)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

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15 X users
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2 Wikipedia pages

Citations

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56 Dimensions

Readers on

mendeley
234 Mendeley
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1 CiteULike
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Title
Drosophilaas a genetic and cellular model for studies on axonal growth
Published in
Neural Development, May 2007
DOI 10.1186/1749-8104-2-9
Pubmed ID
Authors

Natalia Sánchez-Soriano, Guy Tear, Paul Whitington, Andreas Prokop

Abstract

One of the most fascinating processes during nervous system development is the establishment of stereotypic neuronal networks. An essential step in this process is the outgrowth and precise navigation (pathfinding) of axons and dendrites towards their synaptic partner cells. This phenomenon was first described more than a century ago and, over the past decades, increasing insights have been gained into the cellular and molecular mechanisms regulating neuronal growth and navigation. Progress in this area has been greatly assisted by the use of simple and genetically tractable invertebrate model systems, such as the fruit fly Drosophila melanogaster. This review is dedicated to Drosophila as a genetic and cellular model to study axonal growth and demonstrates how it can and has been used for this research. We describe the various cellular systems of Drosophila used for such studies, insights into axonal growth cones and their cytoskeletal dynamics, and summarise identified molecular signalling pathways required for growth cone navigation, with particular focus on pathfinding decisions in the ventral nerve cord of Drosophila embryos. These Drosophila-specific aspects are viewed in the general context of our current knowledge about neuronal growth.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 3 1%
Germany 2 <1%
France 1 <1%
Turkey 1 <1%
Belgium 1 <1%
Egypt 1 <1%
Unknown 221 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 36%
Researcher 42 18%
Student > Bachelor 32 14%
Student > Master 24 10%
Student > Doctoral Student 10 4%
Other 25 11%
Unknown 17 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 128 55%
Biochemistry, Genetics and Molecular Biology 34 15%
Neuroscience 32 14%
Medicine and Dentistry 6 3%
Computer Science 3 1%
Other 15 6%
Unknown 16 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 03 August 2022.
All research outputs
#3,281,929
of 25,307,660 outputs
Outputs from Neural Development
#19
of 231 outputs
Outputs of similar age
#8,131
of 83,616 outputs
Outputs of similar age from Neural Development
#1
of 1 outputs
Altmetric has tracked 25,307,660 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 231 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 92% 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 83,616 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 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them