↓ Skip to main content

Defining Precision Medicine Approaches to Autism Spectrum Disorders: Concepts and Challenges

Overview of attention for article published in Frontiers in Psychiatry, November 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 (80th percentile)

Mentioned by

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

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
168 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.
Title
Defining Precision Medicine Approaches to Autism Spectrum Disorders: Concepts and Challenges
Published in
Frontiers in Psychiatry, November 2016
DOI 10.3389/fpsyt.2016.00188
Pubmed ID
Authors

Eva Loth, Declan G. Murphy, Will Spooren

Abstract

The tremendous clinical and etiological variability between individuals with autism spectrum disorder (ASD) has made precision medicine the most promising treatment approach. It aims to combine new pathophysiologically based treatments with objective tests (stratification biomarkers) to predict which treatment may be beneficial for a particular person. Here we discuss significant advances and current challenges for this approach: rare monogenic forms of ASD have provided a major breakthrough for the identification of treatment targets by providing a means to trace causal links from a gene to specific molecular alterations and biological pathways. To estimate whether treatment targets thus identified may be useful for larger patient groups we need a better understanding of whether different etiologies (i.e., genetic and environmental risk factors acting at different critical time points) lead to convergent or divergent molecular mechanisms, and how they map onto differences in circuit-level brain and cognitive development, and behavioral symptom profiles. Several recently failed clinical trials with syndromic forms of ASD provide valuable insights into conceptual and methodological issues linked to limitations in the translatability from animal models to humans, placebo effects, and a need for mechanistically plausible, objective outcome measures. To identify stratification biomarkers that enrich participant selection in clinical trials, large-scale multi-modal longitudinal observational studies are underway. Addressing these different factors in the next generation of research studies requires a translatable developmental perspective and multidisciplinary, collaborative efforts, with a commitment to sharing protocols and data, to increase transparency and reproducibility.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 168 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 22%
Student > Ph. D. Student 24 14%
Researcher 20 12%
Student > Bachelor 13 8%
Student > Postgraduate 8 5%
Other 29 17%
Unknown 37 22%
Readers by discipline Count As %
Psychology 35 21%
Neuroscience 27 16%
Medicine and Dentistry 18 11%
Biochemistry, Genetics and Molecular Biology 9 5%
Agricultural and Biological Sciences 8 5%
Other 25 15%
Unknown 46 27%
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 11 February 2022.
All research outputs
#2,747,981
of 23,103,436 outputs
Outputs from Frontiers in Psychiatry
#1,456
of 10,221 outputs
Outputs of similar age
#55,798
of 417,844 outputs
Outputs of similar age from Frontiers in Psychiatry
#8
of 42 outputs
Altmetric has tracked 23,103,436 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 10,221 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 85% 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 417,844 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 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 80% of its contemporaries.