↓ Skip to main content

Understanding autism and other neurodevelopmental disorders through experimental translational neurobehavioral models

Overview of attention for article published in Neuroscience & Biobehavioral Reviews, April 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
facebook
1 Facebook page

Readers on

mendeley
364 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Understanding autism and other neurodevelopmental disorders through experimental translational neurobehavioral models
Published in
Neuroscience & Biobehavioral Reviews, April 2016
DOI 10.1016/j.neubiorev.2016.03.013
Pubmed ID
Authors
Abstract

Neurodevelopmental disorders (NDDs) are highly prevalent and severely debilitating brain illnesses caused by aberrant brain growth and development. Resulting in cognitive, social, motor, language and affective disabilities, common NDDs include autism spectrum disorder (ASD), intellectual disability, communication/speech disorders, motor/tic disorders and attention deficit hyperactivity disorder. Affecting neurogenesis, glia/neuronal proliferation and migration, synapse formation and myelination, aberrant neural development occurs over a substantial period of time. Genetic, epigenetic, and environmental factors play a key role in NDD pathogenesis. Animal models are an indispensable tool to study NDDs. Paralleling clinical findings, we comprehensively evaluate various preclinical tests and models which target key (social, cognitive, motor) neurobehavioral domains of ASD and other common NDDs. Covering both traditional (rodent) and alternative NDD models, we outline the emerging areas of research and emphasize how preclinical models play a key role in gaining translational and mechanistic insights into NDDs and their therapy.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 <1%
Israel 1 <1%
France 1 <1%
Unknown 361 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 43 12%
Student > Master 40 11%
Student > Ph. D. Student 39 11%
Student > Postgraduate 38 10%
Researcher 37 10%
Other 68 19%
Unknown 99 27%
Readers by discipline
Readers by discipline Count As %
Psychology 52 14%
Neuroscience 52 14%
Biochemistry, Genetics and Molecular Biology 40 11%
Agricultural and Biological Sciences 34 9%
Medicine and Dentistry 23 6%
Other 43 12%
Unknown 120 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 April 2016.
All research outputs
#2,658,128
of 25,394,764 outputs
Outputs from Neuroscience & Biobehavioral Reviews
#1,212
of 4,284 outputs
Outputs of similar age
#42,076
of 315,085 outputs
Outputs of similar age from Neuroscience & Biobehavioral Reviews
#14
of 77 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has gotten more attention than average, scoring higher than 71% 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 315,085 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.