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Genome-wide scan reveals genetic divergence and diverse adaptive selection in Chinese local cattle

Overview of attention for article published in BMC Genomics, June 2019
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

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35 Mendeley
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Title
Genome-wide scan reveals genetic divergence and diverse adaptive selection in Chinese local cattle
Published in
BMC Genomics, June 2019
DOI 10.1186/s12864-019-5822-y
Pubmed ID
Authors

Lingyang Xu, Liu Yang, Bo Zhu, Wengang Zhang, Zezhao Wang, Yan Chen, Lupei Zhang, Xue Gao, Huijiang Gao, George E. Liu, Junya Li

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Doctoral Student 4 11%
Researcher 4 11%
Other 3 9%
Student > Ph. D. Student 2 6%
Other 4 11%
Unknown 12 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Biochemistry, Genetics and Molecular Biology 5 14%
Veterinary Science and Veterinary Medicine 4 11%
Unspecified 1 3%
Psychology 1 3%
Other 0 0%
Unknown 14 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 17 June 2019.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from BMC Genomics
#8,327
of 10,787 outputs
Outputs of similar age
#265,085
of 354,388 outputs
Outputs of similar age from BMC Genomics
#183
of 251 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 354,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.