| Title |
Autism spectrum disorders and disease modeling using stem cells
|
|---|---|
| Published in |
Cell and Tissue Research, September 2017
|
| DOI | 10.1007/s00441-017-2685-x |
| Pubmed ID | |
| Authors |
Anita Brito, Fabiele Baldino Russo, Alysson Renato Muotri, Patricia Cristina Baleeiro Beltrão-Braga |
| Abstract |
Autism spectrum disorders (ASD) represent a variety of disorders characterized as complex lifelong neurodevelopment disabilities, which may affect the ability of communication and socialization, including typical comportments like repetitive and stereotyped behavior. Other comorbidities are usually present, such as echolalia, hypotonia, intellectual disability and difficulties in processing figured speech. Furthermore, some ASD individuals may present certain abilities, such as eidetic memory, outstanding musical or painting talents and special mathematical skills, among others. Considering the variability of the clinical symptoms, one autistic individual can be severely affected in communication while others can speak perfectly, sometimes having a vocabulary above average in early childhood. The same variability can be seen in other clinical symptoms, thus the "spectrum" can vary from severe to mild. Induced pluripotent stem cell technology has been used to model several neurological diseases, including syndromic and non-syndromic autism. We discuss how modeling the central nervous system cells in a dish may help to reach a better understanding of ASD pathology and variability, as well as personalize their treatment. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 14% |
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Bachelor | 9 | 10% |
| Other | 6 | 6% |
| Other | 14 | 15% |
| Unknown | 29 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 17% |
| Biochemistry, Genetics and Molecular Biology | 12 | 13% |
| Psychology | 11 | 12% |
| Social Sciences | 4 | 4% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 35 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 August 2018.
All research outputs
#15,150,554
of 24,059,832 outputs
Outputs from Cell and Tissue Research
#1,384
of 2,293 outputs
Outputs of similar age
#165,030
of 292,794 outputs
Outputs of similar age from Cell and Tissue Research
#8
of 37 outputs
Altmetric has tracked 24,059,832 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,293 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.