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Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits

Overview of attention for article published in Genetics Selection Evolution, October 2020
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Mentioned by

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2 X users

Citations

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25 Dimensions

Readers on

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43 Mendeley
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Title
Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits
Published in
Genetics Selection Evolution, October 2020
DOI 10.1186/s12711-020-00579-x
Pubmed ID
Authors

Yan Liu, Xiaolei Liu, Zhiwei Zheng, Tingting Ma, Ying Liu, Huan Long, Huijun Cheng, Ming Fang, Jing Gong, Xinyun Li, Shuhong Zhao, Xuewen Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 9%
Student > Master 4 9%
Researcher 4 9%
Student > Ph. D. Student 4 9%
Student > Bachelor 3 7%
Other 2 5%
Unknown 22 51%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 7 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Business, Management and Accounting 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 0 0%
Unknown 22 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2020.
All research outputs
#16,733,516
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#522
of 821 outputs
Outputs of similar age
#263,158
of 436,151 outputs
Outputs of similar age from Genetics Selection Evolution
#11
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% 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 436,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.