| Title |
Biomarkers in autism spectrum disorder: the old and the new
|
|---|---|
| Published in |
Psychopharmacology, October 2013
|
| DOI | 10.1007/s00213-013-3290-7 |
| Pubmed ID | |
| Authors |
Barbara Ruggeri, Ugis Sarkans, Gunter Schumann, Antonio M. Persico |
| Abstract |
Autism spectrum disorder (ASD) is a complex heterogeneous neurodevelopmental disorder with onset during early childhood and typically a life-long course. The majority of ASD cases stems from complex, 'multiple-hit', oligogenic/polygenic underpinnings involving several loci and possibly gene-environment interactions. These multiple layers of complexity spur interest into the identification of biomarkers able to define biologically homogeneous subgroups, predict autism risk prior to the onset of behavioural abnormalities, aid early diagnoses, predict the developmental trajectory of ASD children, predict response to treatment and identify children at risk for severe adverse reactions to psychoactive drugs. |
Mendeley readers
The data shown below were compiled from readership statistics for 355 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Argentina | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 349 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 16% |
| Student > Master | 49 | 14% |
| Researcher | 43 | 12% |
| Student > Bachelor | 41 | 12% |
| Student > Postgraduate | 23 | 6% |
| Other | 61 | 17% |
| Unknown | 81 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 55 | 15% |
| Medicine and Dentistry | 39 | 11% |
| Agricultural and Biological Sciences | 35 | 10% |
| Neuroscience | 26 | 7% |
| Biochemistry, Genetics and Molecular Biology | 21 | 6% |
| Other | 75 | 21% |
| Unknown | 104 | 29% |
Attention Score in Context
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 08 October 2013.
All research outputs
#17,489,487
of 25,654,806 outputs
Outputs from Psychopharmacology
#4,239
of 5,352 outputs
Outputs of similar age
#140,054
of 222,141 outputs
Outputs of similar age from Psychopharmacology
#40
of 53 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 222,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.