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Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations

Overview of attention for article published in American Journal of Human Genetics, June 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
4 news outlets
twitter
58 X users
facebook
3 Facebook pages

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
289 Mendeley
citeulike
3 CiteULike
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Title
Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations
Published in
American Journal of Human Genetics, June 2015
DOI 10.1016/j.ajhg.2015.05.014
Pubmed ID
Authors

Sonia Shah, Marc J. Bonder, Riccardo E. Marioni, Zhihong Zhu, Allan F. McRae, Alexandra Zhernakova, Sarah E. Harris, Dave Liewald, Anjali K. Henders, Michael M. Mendelson, Chunyu Liu, Roby Joehanes, Liming Liang, BIOS Consortium, Bastiaan T. Heijmans, Peter A.C. ’t Hoen, Joyce van Meurs, Aaron Isaacs, Rick Jansen, Lude Franke, Dorret I. Boomsma, René Pool, Jenny van Dongen, Jouke J. Hottenga, Marleen M.J. van Greevenbroek, Coen D.A. Stehouwer, Carla J.H. van der Kallen, Casper G. Schalkwijk, Cisca Wijmenga, Sasha Zhernakova, Ettje F. Tigchelaar, P. Eline Slagboom, Marian Beekman, Joris Deelen, Diana van Heemst, Jan H. Veldink, Leonard H. van den Berg, Cornelia M. van Duijn, Bert A. Hofman, André G. Uitterlinden, P. Mila Jhamai, Michael Verbiest, H. Eka D. Suchiman, Marijn Verkerk, Ruud van der Breggen, Jeroen van Rooij, Nico Lakenberg, Hailiang Mei, Maarten van Iterson, Michiel van Galen, Jan Bot, Peter van ’t Hof, Patrick Deelen, Irene Nooren, Matthijs Moed, Martijn Vermaat, Dasha V. Zhernakova, René Luijk, Marc Jan Bonder, Freerk van Dijk, Wibowo Arindrarto, Szymon M. Kielbasa, Morris A. Swertz, Erik W. van Zwet, Daniel Levy, Nicholas G. Martin, John M. Starr, Cisca Wijmenga, Naomi R. Wray, Jian Yang, Grant W. Montgomery, Lude Franke, Ian J. Deary, Peter M. Visscher

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Denmark 2 <1%
Italy 1 <1%
New Zealand 1 <1%
Austria 1 <1%
China 1 <1%
United Kingdom 1 <1%
Unknown 277 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 25%
Student > Ph. D. Student 60 21%
Student > Master 22 8%
Student > Bachelor 17 6%
Professor 15 5%
Other 53 18%
Unknown 49 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 27%
Biochemistry, Genetics and Molecular Biology 51 18%
Medicine and Dentistry 40 14%
Psychology 14 5%
Neuroscience 8 3%
Other 32 11%
Unknown 65 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 09 May 2017.
All research outputs
#701,383
of 25,837,817 outputs
Outputs from American Journal of Human Genetics
#342
of 5,955 outputs
Outputs of similar age
#7,816
of 280,016 outputs
Outputs of similar age from American Journal of Human Genetics
#6
of 48 outputs
Altmetric has tracked 25,837,817 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 5,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done particularly well, scoring higher than 93% 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 280,016 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.