↓ Skip to main content
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
twitter
35 X users
googleplus
1 Google+ user
reddit
23 Redditors
q&a
1 Q&A thread
bluesky
1 Bluesky user

Readers on

mendeley
62 Mendeley
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.
Article details
Title
A systems biology approach to identify intelligence quotient score-related genomic regions and pathways relevant to potential therapeutic treatments
Published in
Scientific Reports, February 2014
DOI 10.1038/srep04176
Pubmed ID
Authors
Abstract

Although the intelligence quotient (IQ) is the most popular intelligence test in the world, little is known about the underlying biological mechanisms that lead to the differences in human. To improve our understanding of cognitive processes and identify potential biomarkers, we conducted a comprehensive investigation of 158 IQ-related genes selected from the literature. A genomic distribution analysis demonstrated that IQ-related genes were enriched in seven regions of chromosome 7 and the X chromosome. In addition, these genes were enriched in target lists of seven transcription factors and sixteen microRNAs. Using a network-based approach, we further reconstructed an IQ-related pathway from known human pathway interaction data. Based on this reconstructed pathway, we incorporated enriched drugs and described the importance of dopamine and norepinephrine systems in IQ-related biological process. These findings not only reveal several testable genes and processes related to IQ scores, but also have potential therapeutic implications for IQ-related mental disorders.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 3%
United States 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 24%
Student > Ph. D. Student 11 18%
Other 6 10%
Student > Bachelor 6 10%
Student > Master 4 6%
Other 10 16%
Unknown 10 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 16 26%
Biochemistry, Genetics and Molecular Biology 13 21%
Psychology 8 13%
Medicine and Dentistry 5 8%
Neuroscience 5 8%
Other 6 10%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 12 February 2026.
All research outputs
#945,336
of 33,133,799 outputs
Outputs from Scientific Reports
#9,971
of 179,627 outputs
Outputs of similar age
#7,546
of 256,266 outputs
Outputs of similar age from Scientific Reports
#44
of 862 outputs
Altmetric has tracked 33,133,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 179,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done particularly well, scoring higher than 94% 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 256,266 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.