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IQdb: an intelligence quotient score-associated gene resource for human intelligence

Overview of attention for article published in Database: The Journal of Biological Databases & Curation, September 2013
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Article details
Title
IQdb: an intelligence quotient score-associated gene resource for human intelligence
Published in
Database: The Journal of Biological Databases & Curation, September 2013
DOI 10.1093/database/bat063
Pubmed ID
Authors

Lei Kong, Lu Cheng, Li-ya Fan, Min Zhao, Hong Qu

Abstract

Intelligence quotient (IQ) is the most widely used phenotype to characterize human cognitive abilities. Recent advances in studies on human intelligence have identified many new susceptibility genes. However, the genetic mechanisms involved in IQ score and the relationship between IQ score and the risk of mental disorders have won little attention. To address the genetic complexity of IQ score, we have developed IQdb (http://IQdb.cbi.pku.edu.cn), a publicly available database for exploring IQ-associated human genes. In total, we collected 158 experimental verified genes from literature as a core dataset in IQdb. In addition, 46 genomic regions related to IQ score have been curated from literature. Based on the core dataset and 46 confirmed linked genomic regions, more than 6932 potential IQ-related genes are expanded using data of protein-protein interactions. A systematic gene ranking approach was applied to all the collected and expanded genes to represent the relative importance of all the 7090 genes in IQdb. Our further systematic pathway analysis reveals that IQ-associated genes are significantly enriched in multiple signal events, especially related to cognitive systems. Of the 158 genes in the core dataset, 81 are involved in various psychotic and mental disorders. This comprehensive gene resource illustrates the importance of IQdb to our understanding on human intelligence, and highlights the utility of IQdb for elucidating the functions of IQ-associated genes and the cross-talk mechanisms among cognition-related pathways in some mental disorders for community. Database URL: http://IQdb.cbi.pku.edu.cn.

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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 3%
United Kingdom 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 27%
Student > Ph. D. Student 6 18%
Student > Bachelor 5 15%
Other 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 6 18%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 6 18%
Psychology 6 18%
Medicine and Dentistry 3 9%
Neuroscience 3 9%
Other 1 3%
Unknown 7 21%
Attention Score in Context

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 14 September 2013.
All research outputs
#28,677,544
of 34,457,357 outputs
Outputs from Database: The Journal of Biological Databases & Curation
#983
of 1,195 outputs
Outputs of similar age
#195,223
of 243,264 outputs
Outputs of similar age from Database: The Journal of Biological Databases & Curation
#14
of 15 outputs
Altmetric has tracked 34,457,357 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,195 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.