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Uncovering the candidate genes related to sheep body weight using multi-trait genome-wide association analysis

Overview of attention for article published in Frontiers in Veterinary Science, August 2023
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1 X user

Citations

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1 Dimensions

Readers on

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9 Mendeley
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Title
Uncovering the candidate genes related to sheep body weight using multi-trait genome-wide association analysis
Published in
Frontiers in Veterinary Science, August 2023
DOI 10.3389/fvets.2023.1206383
Pubmed ID
Authors

Yunna Li, Hua Yang, Jing Guo, Yonglin Yang, Qian Yu, Yuanyuan Guo, Chaoxin Zhang, Zhipeng Wang, Peng Zuo

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 2 22%
Lecturer > Senior Lecturer 1 11%
Student > Master 1 11%
Unknown 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 67%
Unknown 3 33%
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 17 August 2023.
All research outputs
#21,756,186
of 24,280,456 outputs
Outputs from Frontiers in Veterinary Science
#6,093
of 7,260 outputs
Outputs of similar age
#124,851
of 153,906 outputs
Outputs of similar age from Frontiers in Veterinary Science
#129
of 197 outputs
Altmetric has tracked 24,280,456 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 7,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 153,906 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 197 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.