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Deep Genome Resequencing Reveals Artificial and Natural Selection for Visual Deterioration, Plateau Adaptability and High Prolificacy in Chinese Domestic Sheep

Overview of attention for article published in Frontiers in Genetics, April 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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38 Dimensions

Readers on

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53 Mendeley
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Title
Deep Genome Resequencing Reveals Artificial and Natural Selection for Visual Deterioration, Plateau Adaptability and High Prolificacy in Chinese Domestic Sheep
Published in
Frontiers in Genetics, April 2019
DOI 10.3389/fgene.2019.00300
Pubmed ID
Authors

Weimin Wang, Xiaoxue Zhang, Xiang Zhou, Yangzi Zhang, Yongfu La, Yu Zhang, Chong Li, Youzhang Zhao, Fadi Li, Bang Liu, Zhihua Jiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Ph. D. Student 8 15%
Professor 6 11%
Student > Master 5 9%
Student > Bachelor 3 6%
Other 4 8%
Unknown 19 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 42%
Biochemistry, Genetics and Molecular Biology 5 9%
Veterinary Science and Veterinary Medicine 2 4%
Environmental Science 1 2%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 19 36%
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 21 April 2019.
All research outputs
#15,568,386
of 23,140,503 outputs
Outputs from Frontiers in Genetics
#5,536
of 12,179 outputs
Outputs of similar age
#219,120
of 351,417 outputs
Outputs of similar age from Frontiers in Genetics
#192
of 350 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,179 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% 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 351,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.