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Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep

Overview of attention for article published in Genetics Selection Evolution, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep
Published in
Genetics Selection Evolution, June 2021
DOI 10.1186/s12711-021-00649-8
Pubmed ID
Authors

Bingru Zhao, Hanpeng Luo, Xixia Huang, Chen Wei, Jiang Di, Yuezhen Tian, Xuefeng Fu, Bingjie Li, George E. Liu, Lingzhao Fang, Shengli Zhang, Kechuan Tian

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Ph. D. Student 5 14%
Student > Master 2 5%
Student > Bachelor 1 3%
Professor 1 3%
Other 4 11%
Unknown 13 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 30%
Biochemistry, Genetics and Molecular Biology 4 11%
Environmental Science 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Engineering 1 3%
Other 0 0%
Unknown 19 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2021.
All research outputs
#14,611,205
of 25,392,582 outputs
Outputs from Genetics Selection Evolution
#403
of 820 outputs
Outputs of similar age
#201,786
of 453,513 outputs
Outputs of similar age from Genetics Selection Evolution
#9
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 820 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 453,513 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.