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Brief Report: The Negev Hospital-University-Based (HUB) Autism Database

Overview of attention for article published in Journal of Autism & Developmental Disorders, June 2017
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Title
Brief Report: The Negev Hospital-University-Based (HUB) Autism Database
Published in
Journal of Autism & 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 27%
Researcher 7 16%
Student > Doctoral Student 5 11%
Other 5 11%
Student > Ph. D. Student 5 11%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Psychology 10 23%
Medicine and Dentistry 8 18%
Neuroscience 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 2 5%
Other 6 14%
Unknown 11 25%

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
#9,192,754
of 11,483,620 outputs
Outputs from Journal of Autism & Developmental Disorders
#2,549
of 2,894 outputs
Outputs of similar age
#191,020
of 264,030 outputs
Outputs of similar age from Journal of Autism & Developmental Disorders
#86
of 112 outputs
Altmetric has tracked 11,483,620 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 7th percentile – i.e., 7% 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 264,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.