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Analysis of genomic copy number variations through whole-genome scan in Chinese Qaidam cattle

Overview of attention for article published in Frontiers in Veterinary Science, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Analysis of genomic copy number variations through whole-genome scan in Chinese Qaidam cattle
Published in
Frontiers in Veterinary Science, March 2023
DOI 10.3389/fvets.2023.1148070
Pubmed ID
Authors

Yangkai Liu, Yanan Mu, Wenxiang Wang, Zulfiqar Ahmed, Xudong Wei, Chuzhao Lei, Zhijie Ma

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 May 2024.
All research outputs
#7,315,090
of 25,840,929 outputs
Outputs from Frontiers in Veterinary Science
#1,325
of 8,244 outputs
Outputs of similar age
#127,540
of 426,047 outputs
Outputs of similar age from Frontiers in Veterinary Science
#38
of 470 outputs
Altmetric has tracked 25,840,929 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,244 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 83% of its peers.
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 426,047 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 470 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.