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Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human

Overview of attention for article published in BMC Biology, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human
Published in
BMC Biology, July 2020
DOI 10.1186/s12915-020-00792-6
Pubmed ID
Authors

Shuli Liu, Ying Yu, Shengli Zhang, John B. Cole, Albert Tenesa, Ting Wang, Tara G. McDaneld, Li Ma, George E. Liu, Lingzhao Fang

Twitter Demographics

The data shown below were collected from the profiles of 16 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Student > Master 4 15%
Student > Bachelor 3 12%
Student > Ph. D. Student 2 8%
Professor 1 4%
Other 3 12%
Unknown 7 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 27%
Biochemistry, Genetics and Molecular Biology 5 19%
Veterinary Science and Veterinary Medicine 1 4%
Mathematics 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 9 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 July 2020.
All research outputs
#2,888,134
of 18,200,907 outputs
Outputs from BMC Biology
#754
of 1,569 outputs
Outputs of similar age
#69,605
of 296,879 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 18,200,907 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,569 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has gotten more attention than average, scoring higher than 51% 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 296,879 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 76% 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