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Generalist genes analysis of DNA markers associated with mathematical ability and disability reveals shared influence across ages and abilities

Overview of attention for article published in BMC Genomic Data, July 2010
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
wikipedia
3 Wikipedia pages

Citations

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21 Dimensions

Readers on

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64 Mendeley
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Title
Generalist genes analysis of DNA markers associated with mathematical ability and disability reveals shared influence across ages and abilities
Published in
BMC Genomic Data, July 2010
DOI 10.1186/1471-2156-11-61
Pubmed ID
Authors

Sophia J Docherty, Yulia Kovas, Stephen A Petrill, Robert Plomin

Abstract

The Generalist Genes Hypothesis is based upon quantitative genetic findings which indicate that many of the same genes influence diverse cognitive abilities and disabilities across age. In a recent genome-wide association study of mathematical ability in 10-year-old children, 43 SNP associations were nominated from scans of pooled DNA, 10 of which were validated in an individually genotyped sample. The 4927 children in this genotyped sample have also been studied at 7, 9 and 12 years of age on measures of mathematical ability, as well as on other cognitive and learning abilities.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Brazil 1 2%
Portugal 1 2%
Mexico 1 2%
United States 1 2%
Unknown 58 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 9 14%
Student > Master 9 14%
Student > Bachelor 5 8%
Student > Postgraduate 5 8%
Other 13 20%
Unknown 13 20%
Readers by discipline Count As %
Psychology 30 47%
Agricultural and Biological Sciences 6 9%
Medicine and Dentistry 4 6%
Social Sciences 4 6%
Computer Science 2 3%
Other 1 2%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 June 2022.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from BMC Genomic Data
#252
of 1,204 outputs
Outputs of similar age
#33,675
of 104,560 outputs
Outputs of similar age from BMC Genomic Data
#6
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% 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 104,560 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 65% of its contemporaries.
We're also able to compare this research output to 12 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 50% of its contemporaries.