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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Autism beyond diagnostic categories: characterization of autistic phenotypes in schizophrenia
|
|---|---|
| Published in |
BMC Psychiatry, May 2015
|
| DOI | 10.1186/s12888-015-0494-x |
| Pubmed ID | |
| Authors |
Anne Kästner, Martin Begemann, Tanja Maria Michel, Sarah Everts, Beata Stepniak, Christiane Bach, Luise Poustka, Joachim Becker, Tobias Banaschewski, Matthias Dose, Hannelore Ehrenreich |
| Abstract |
Behavioral phenotypical continua from health to disease suggest common underlying mechanisms with quantitative rather than qualitative differences. Until recently, autism spectrum disorders and schizophrenia were considered distinct nosologic entities. However, emerging evidence contributes to the blurring of symptomatic and genetic boundaries between these conditions. The present study aimed at quantifying behavioral phenotypes shared by autism spectrum disorders and schizophrenia to prepare the ground for biological pathway analyses. Specific items of the Positive and Negative Syndrome Scale were employed and summed up to form a dimensional autism severity score (PAUSS). The score was created in a schizophrenia sample (N = 1156) and validated in adult high-functioning autism spectrum disorder (ASD) patients (N = 165). To this end, the Autism Diagnostic Observation Schedule (ADOS), the Autism (AQ) and Empathy Quotient (EQ) self-rating questionnaires were applied back to back with the newly developed PAUSS. PAUSS differentiated between ASD, schizophrenia and a disease-control sample and substantially correlated with the Autism Diagnostic Observation Schedule. Patients with ADOS scores ≥12 obtained highest, those with scores <7 lowest PAUSS values. AQ and EQ were not found to vary dependent on ADOS diagnosis. ROC curves for ADOS and PAUSS resulted in AuC values of 0.9 and 0.8, whereas AQ and EQ performed at chance level in the prediction of ASD. This work underscores the convergence of schizophrenia negative symptoms and autistic phenotypes. PAUSS evolved as a measure capturing the continuous nature of autistic behaviors. The definition of extreme-groups based on the dimensional PAUSS may permit future investigations of genetic constellations modulating autistic phenotypes. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 20% |
| United Kingdom | 3 | 15% |
| Germany | 1 | 5% |
| Canada | 1 | 5% |
| India | 1 | 5% |
| Unknown | 10 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Practitioners (doctors, other healthcare professionals) | 5 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 172 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 15% |
| Student > Master | 22 | 13% |
| Student > Postgraduate | 18 | 10% |
| Student > Doctoral Student | 15 | 9% |
| Student > Bachelor | 14 | 8% |
| Other | 37 | 21% |
| Unknown | 43 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 49 | 28% |
| Medicine and Dentistry | 32 | 18% |
| Neuroscience | 15 | 9% |
| Agricultural and Biological Sciences | 7 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 19 | 11% |
| Unknown | 48 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 01 November 2018.
All research outputs
#2,557,480
of 25,654,806 outputs
Outputs from BMC Psychiatry
#979
of 5,502 outputs
Outputs of similar age
#31,530
of 279,778 outputs
Outputs of similar age from BMC Psychiatry
#9
of 73 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done well, scoring higher than 82% 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 279,778 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 88% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.