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Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis

Overview of attention for article published in Brain Sciences, September 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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9 X users

Citations

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7 Dimensions

Readers on

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35 Mendeley
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Title
Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis
Published in
Brain Sciences, September 2020
DOI 10.3390/brainsci10100692
Pubmed ID
Authors

Jinhee Lee, Min Ji Son, Chei Yun Son, Gwang Hun Jeong, Keum Hwa Lee, Kwang Seob Lee, Younhee Ko, Jong Yeob Kim, Jun Young Lee, Joaquim Radua, Michael Eisenhut, Florence Gressier, Ai Koyanagi, Brendon Stubbs, Marco Solmi, Theodor B. Rais, Andreas Kronbichler, Elena Dragioti, Daniel Fernando Pereira Vasconcelos, Felipe Rodolfo Pereira da Silva, Kalthoum Tizaoui, André Russowsky Brunoni, Andre F. Carvalho, Sarah Cargnin, Salvatore Terrazzino, Andrew Stickley, Lee Smith, Trevor Thompson, Jae Il Shin, Paolo Fusar-Poli

Abstract

This study aimed to verify noteworthy findings between genetic risk factors and autism spectrum disorder (ASD) by employing the false positive report probability (FPRP) and the Bayesian false-discovery probability (BFDP). PubMed and the Genome-Wide Association Studies (GWAS) catalog were searched from inception to 1 August, 2019. We included meta-analyses on genetic factors of ASD of any study design. Overall, twenty-seven meta-analyses articles from literature searches, and four manually added articles from the GWAS catalog were re-analyzed. This showed that five of 31 comparisons for meta-analyses of observational studies, 40 out of 203 comparisons for the GWAS meta-analyses, and 18 out of 20 comparisons for the GWAS catalog, respectively, had noteworthy estimations under both Bayesian approaches. In this study, we found noteworthy genetic comparisons highly related to an increased risk of ASD. Multiple genetic comparisons were shown to be associated with ASD risk; however, genuine associations should be carefully verified and understood.

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Student > Bachelor 3 9%
Other 2 6%
Student > Master 2 6%
Lecturer 1 3%
Other 2 6%
Unknown 20 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 11%
Psychology 4 11%
Neuroscience 2 6%
Business, Management and Accounting 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 20 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 September 2021.
All research outputs
#13,036,281
of 23,322,258 outputs
Outputs from Brain Sciences
#1,400
of 4,053 outputs
Outputs of similar age
#185,703
of 412,076 outputs
Outputs of similar age from Brain Sciences
#89
of 273 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,053 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 64% 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 412,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.