| Title |
Brief Report: The Negev Hospital-University-Based (HUB) Autism Database
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, June 2017
|
| DOI | 10.1007/s10803-017-3207-0 |
| Pubmed ID | |
| Authors |
Gal Meiri, Ilan Dinstein, Analya Michaelowski, Hagit Flusser, Michal Ilan, Michal Faroy, Asif Bar-Sinai, Liora Manelis, Dana Stolowicz, Lili Lea Yosef, Nadav Davidovitch, Hava Golan, Shosh Arbelle, Idan Menashe |
| Abstract |
Elucidating the heterogeneous etiologies of autism will require investment in comprehensive longitudinal data acquisition from large community based cohorts. With this in mind, we have established a hospital-university-based (HUB) database of autism which incorporates prospective and retrospective data from a large and ethnically diverse population. The collected data includes social-demographic characteristics, standardized behavioral testing, detailed clinical history from electronic patient records, genetic samples, and various neurological measures. We describe the initial cohort characteristics following the first 18 months of data collection (188 children with autism). We believe that the Negev HUB autism database offers a unique and valuable resource for studying the heterogeneity of autism etiologies across different ethnic populations. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 19% |
| Student > Ph. D. Student | 9 | 11% |
| Researcher | 8 | 10% |
| Other | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 25 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 19% |
| Medicine and Dentistry | 10 | 13% |
| Neuroscience | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 31 | 39% |
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 18 July 2017.
All research outputs
#19,400,321
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,464
of 5,240 outputs
Outputs of similar age
#245,781
of 319,446 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#94
of 113 outputs
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