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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)


495 Dimensions

Readers on

636 Mendeley
5 CiteULike
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Published in
Science, May 2013
DOI 10.1126/science.1235488
Pubmed ID

C. A. Rietveld, S. E. Medland, J. Derringer, J. Yang, T. Esko, N. W. Martin, H.-J. Westra, K. Shakhbazov, A. Abdellaoui, A. Agrawal, E. Albrecht, B. Z. Alizadeh, N. Amin, J. Barnard, S. E. Baumeister, K. S. Benke, L. F. Bielak, J. A. Boatman, P. A. Boyle, G. Davies, C. de Leeuw, N. Eklund, D. S. Evans, R. Ferhmann, K. Fischer, C. Gieger, H. K. Gjessing, S. Hagg, J. R. Harris, C. Hayward, C. Holzapfel, C. A. Ibrahim-Verbaas, E. Ingelsson, B. Jacobsson, P. K. Joshi, A. Jugessur, M. Kaakinen, S. Kanoni, J. Karjalainen, I. Kolcic, K. Kristiansson, Z. Kutalik, J. Lahti, S. H. Lee, P. Lin, P. A. Lind, Y. Liu, K. Lohman, M. Loitfelder, G. McMahon, P. M. Vidal, O. Meirelles, L. Milani, R. Myhre, M.-L. Nuotio, C. J. Oldmeadow, K. E. Petrovic, W. J. Peyrot, O. Polasek, L. Quaye, E. Reinmaa, J. P. Rice, T. S. Rizzi, H. Schmidt, R. Schmidt, A. V. Smith, J. A. Smith, T. Tanaka, A. Terracciano, M. J. H. M. van der Loos, V. Vitart, H. Volzke, J. Wellmann, L. Yu, W. Zhao, J. Allik, J. R. Attia, S. Bandinelli, F. Bastardot, J. Beauchamp, D. A. Bennett, K. Berger, L. J. Bierut, D. I. Boomsma, U. Bultmann, H. Campbell, C. F. Chabris, L. Cherkas, M. K. Chung, F. Cucca, M. de Andrade, P. L. De Jager, J.-E. De Neve, I. J. Deary, G. V. Dedoussis, P. Deloukas, M. Dimitriou, G. Eiriksdottir, M. F. Elderson, J. G. Eriksson, D. M. Evans, J. D. Faul, L. Ferrucci, M. E. Garcia, H. Gronberg, V. Guthnason, P. Hall, J. M. Harris, T. B. Harris, N. D. Hastie, A. C. Heath, D. G. Hernandez, W. Hoffmann, A. Hofman, R. Holle, E. G. Holliday, J.-J. Hottenga, W. G. Iacono, T. Illig, M.-R. Jarvelin, M. Kahonen, J. Kaprio, R. M. Kirkpatrick, M. Kowgier, A. Latvala, L. J. Launer, D. A. Lawlor, T. Lehtimaki, J. Li, P. Lichtenstein, P. Lichtner, D. C. Liewald, P. A. Madden, P. K. E. Magnusson, T. E. Makinen, M. Masala, M. McGue, A. Metspalu, A. Mielck, M. B. Miller, G. W. Montgomery, S. Mukherjee, D. R. Nyholt, B. A. Oostra, L. J. Palmer, A. Palotie, B. W. J. H. Penninx, M. Perola, P. A. Peyser, M. Preisig, K. Raikkonen, O. T. Raitakari, A. Realo, S. M. Ring, S. Ripatti, F. Rivadeneira, I. Rudan, A. Rustichini, V. Salomaa, A.-P. Sarin, D. Schlessinger, R. J. Scott, H. Snieder, B. St Pourcain, J. M. Starr, J. H. Sul, I. Surakka, R. Svento, A. Teumer, H. Tiemeier, F. J. A. van Rooij, D. R. Van Wagoner, E. Vartiainen, J. Viikari, P. Vollenweider, J. M. Vonk, G. Waeber, D. R. Weir, H.- E. Wichmann, E. Widen, G. Willemsen, J. F. Wilson, A. F. Wright, D. Conley, G. Davey-Smith, L. Franke, P. J. F. Groenen, A. Hofman, M. Johannesson, S. L. R. Kardia, R. F. Krueger, D. Laibson, N. G. Martin, M. N. Meyer, D. Posthuma, A. R. Thurik, N. J. Timpson, A. G. Uitterlinden, C. M. van Duijn, P. M. Visscher, D. J. Benjamin, D. Cesarini, P. D. Koellinger


A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) ≈ 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ≈2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.

Twitter Demographics

The data shown below were collected from the profiles of 344 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 636 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
Canada 6 <1%
United Kingdom 5 <1%
Netherlands 5 <1%
Japan 3 <1%
Finland 3 <1%
Germany 2 <1%
Spain 2 <1%
Austria 2 <1%
Other 9 1%
Unknown 582 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 22%
Researcher 138 22%
Student > Master 63 10%
Professor 53 8%
Student > Bachelor 45 7%
Other 151 24%
Unknown 48 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 171 27%
Biochemistry, Genetics and Molecular Biology 82 13%
Medicine and Dentistry 69 11%
Psychology 63 10%
Social Sciences 43 7%
Other 119 19%
Unknown 89 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 751. 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 01 July 2020.
All research outputs
of 15,391,926 outputs
Outputs from Science
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Outputs of similar age
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Outputs of similar age from Science
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Altmetric has tracked 15,391,926 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 66,441 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 50.0. This one has done particularly well, scoring higher than 99% 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 157,582 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 99% of its contemporaries.
We're also able to compare this research output to 867 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 99% of its contemporaries.