High-throughput, target-based screening techniques have been utilized extensively for drug discovery in the past several decades.However, the need for more predictive in vitro models of in vivo disease states has generated a shift in strategy towards phenotype-based screens.Phenotype based screens are particularly valuable in studying complex conditions such as CNS injury and degenerative disease, as many factors can contribute to a specific cellular response.In this review, we will discuss different screening frameworks and their relative utility in examining mechanisms of neurodegeneration and axon regrowth, particularly in cell-based in vitro disease models.
This research output has an Altmetric Attention Score of 1. 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 25 July 2016.
All research outputs
#31,576,053
of 34,763,505 outputs
Outputs from MCN: Molecular & Cellular Neuroscience
#1,517
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Outputs of similar age
#301,452
of 338,596 outputs
Outputs of similar age from MCN: Molecular & Cellular Neuroscience
#17
of 23 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,641 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
