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Receptor complexes for each of the Class 3 Semaphorins

Overview of attention for article published in Frontiers in Cellular Neuroscience, January 2012
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  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Receptor complexes for each of the Class 3 Semaphorins
Published in
Frontiers in Cellular Neuroscience, January 2012
DOI 10.3389/fncel.2012.00028
Pubmed ID
Authors

Anil Sharma, Joost Verhaagen, Alan R. Harvey

Abstract

The Class 3 Semaphorins (Sema3s) are a sub-family of proteins whose known biological roles are varied and growing. The mechanism of action of the Sema3s requires binding to transmembrane receptors that comprise heteromeric complexes of Neuropilins, Plexins and cell adhesion molecules (CAMs). However, knowledge of the receptor components of the Sema3s remains incomplete, and there may be receptor components which are as yet undiscovered. The receptor complexes of the Sema3s share receptor components with each other, and it is the specific combination of these components within a heteromeric complex that is thought to give rise to selective binding and signalling for individual Sema3s. This crosstalk makes it experimentally difficult to define a single holoreceptor for each Sema3. Furthermore, the receptor composition for a given Sema3 may differ between cell types, and change as a function of developmental state or pathological situation. Nevertheless, there are at least some known differences in the constitutive structure of the receptors for the Sema3s. For example in neural cells, Sema3a and Sema3f signal through different Neuropilins (Nrp1 and Nrp2 respectively) and L1cam only appears important for Sema3a signaling, while Nrcam forms a complex with Nrp2. Further complexity arises from crosstalk of other families of ligands (e.g., VEGF) with Sema3 receptor components. Thus the Sema3s, which have been shown as antagonists for each other, can also act as antagonists for other families of molecules. This review compiles experimental evidence describing the receptor components for the Sema3s, detailing the current state of knowledge of which components are important for signaling of each Sema3 before going on to consider possible future directions for the field.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Netherlands 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 130 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 27%
Researcher 30 22%
Student > Master 14 10%
Student > Doctoral Student 9 7%
Student > Bachelor 8 6%
Other 14 10%
Unknown 24 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 36%
Biochemistry, Genetics and Molecular Biology 20 15%
Neuroscience 16 12%
Medicine and Dentistry 10 7%
Immunology and Microbiology 6 4%
Other 9 7%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 July 2012.
All research outputs
#7,171,608
of 22,671,366 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,351
of 4,200 outputs
Outputs of similar age
#67,818
of 244,075 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#5
of 42 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,200 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 66% 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 244,075 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 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.