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Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle

Overview of attention for article published in Frontiers in Genetics, July 2021
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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3 X users

Citations

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16 Dimensions

Readers on

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5 Mendeley
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Title
Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle
Published in
Frontiers in Genetics, July 2021
DOI 10.3389/fgene.2021.665382
Pubmed ID
Authors

Hongwei Li, Bo Zhu, Ling Xu, Zezhao Wang, Lei Xu, Peinuo Zhou, Han Gao, Peng Guo, Yan Chen, Xue Gao, Lupei Zhang, Huijiang Gao, Wentao Cai, Lingyang Xu, Junya Li

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Professor > Associate Professor 1 20%
Student > Postgraduate 1 20%
Unknown 1 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 60%
Unspecified 1 20%
Unknown 1 20%
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 16 August 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from Frontiers in Genetics
#5,593
of 12,328 outputs
Outputs of similar age
#251,742
of 434,166 outputs
Outputs of similar age from Frontiers in Genetics
#278
of 755 outputs
Altmetric has tracked 23,310,485 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 12,328 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 434,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 755 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.