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OSCA: a tool for omic-data-based complex trait analysis

Overview of attention for article published in Genome Biology (Online Edition), May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
38 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
94 Mendeley
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Title
OSCA: a tool for omic-data-based complex trait analysis
Published in
Genome Biology (Online Edition), May 2019
DOI 10.1186/s13059-019-1718-z
Pubmed ID
Authors

Futao Zhang, Wenhan Chen, Zhihong Zhu, Qian Zhang, Marta F. Nabais, Ting Qi, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang

Twitter Demographics

The data shown below were collected from the profiles of 38 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 19 20%
Student > Master 12 13%
Student > Doctoral Student 7 7%
Student > Bachelor 6 6%
Other 15 16%
Unknown 14 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 28%
Agricultural and Biological Sciences 20 21%
Medicine and Dentistry 6 6%
Neuroscience 5 5%
Computer Science 3 3%
Other 15 16%
Unknown 19 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 18 February 2021.
All research outputs
#1,406,084
of 21,693,385 outputs
Outputs from Genome Biology (Online Edition)
#1,279
of 3,994 outputs
Outputs of similar age
#30,343
of 288,879 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,693,385 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 67% 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 288,879 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them