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Identification of Key Candidate Genes for Beak Length Phenotype by Whole-Genome Resequencing in Geese

Overview of attention for article published in Frontiers in Veterinary Science, March 2022
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1 X user

Citations

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3 Dimensions

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5 Mendeley
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Title
Identification of Key Candidate Genes for Beak Length Phenotype by Whole-Genome Resequencing in Geese
Published in
Frontiers in Veterinary Science, March 2022
DOI 10.3389/fvets.2022.847481
Pubmed ID
Authors

Jianhua Huang, Cong Wang, Jing Ouyang, Hongbo Tang, Sumei Zheng, Yanpeng Xiong, Yuren Gao, Yongfei Wu, Luping Wang, Xueming Yan, Hao Chen

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Unspecified 1 20%
Other 1 20%
Unknown 2 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 40%
Unspecified 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 March 2022.
All research outputs
#20,743,007
of 23,342,232 outputs
Outputs from Frontiers in Veterinary Science
#5,515
of 6,548 outputs
Outputs of similar age
#363,520
of 443,132 outputs
Outputs of similar age from Frontiers in Veterinary Science
#406
of 513 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,548 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% 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 443,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 513 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.