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Estimating heritability and genetic correlations from large health datasets in the absence of genetic data

Overview of attention for article published in Nature Communications, December 2019
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
5 news outlets
twitter
69 X users
reddit
2 Redditors

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
104 Mendeley
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Title
Estimating heritability and genetic correlations from large health datasets in the absence of genetic data
Published in
Nature Communications, December 2019
DOI 10.1038/s41467-019-13455-0
Pubmed ID
Authors

Gengjie Jia, Yu Li, Hanxin Zhang, Ishanu Chattopadhyay, Anders Boeck Jensen, David R. Blair, Lea Davis, Peter N. Robinson, Torsten Dahlén, Søren Brunak, Mikael Benson, Gustaf Edgren, Nancy J. Cox, Xin Gao, Andrey Rzhetsky

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 21%
Student > Ph. D. Student 14 13%
Student > Master 10 10%
Other 7 7%
Student > Bachelor 6 6%
Other 17 16%
Unknown 28 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 18%
Medicine and Dentistry 17 16%
Agricultural and Biological Sciences 8 8%
Psychology 6 6%
Nursing and Health Professions 4 4%
Other 18 17%
Unknown 32 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 11 July 2022.
All research outputs
#646,996
of 25,363,868 outputs
Outputs from Nature Communications
#11,180
of 56,747 outputs
Outputs of similar age
#15,516
of 472,596 outputs
Outputs of similar age from Nature Communications
#274
of 1,392 outputs
Altmetric has tracked 25,363,868 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 56,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one has done well, scoring higher than 80% 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 472,596 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 96% of its contemporaries.
We're also able to compare this research output to 1,392 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.