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A global analysis of CNVs in diverse yak populations using whole-genome resequencing

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

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1 X user

Citations

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37 Dimensions

Readers on

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24 Mendeley
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Title
A global analysis of CNVs in diverse yak populations using whole-genome resequencing
Published in
BMC Genomics, January 2019
DOI 10.1186/s12864-019-5451-5
Pubmed ID
Authors

Hui Wang, Zhixin Chai, Dan Hu, Qiumei Ji, Jinwei Xin, Chengfu Zhang, Jincheng Zhong

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Postgraduate 4 17%
Researcher 3 13%
Student > Master 1 4%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 7 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Agricultural and Biological Sciences 5 21%
Veterinary Science and Veterinary Medicine 2 8%
Neuroscience 2 8%
Nursing and Health Professions 1 4%
Other 2 8%
Unknown 7 29%
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 22 January 2019.
All research outputs
#18,664,348
of 23,124,001 outputs
Outputs from BMC Genomics
#8,226
of 10,708 outputs
Outputs of similar age
#324,840
of 437,712 outputs
Outputs of similar age from BMC Genomics
#174
of 246 outputs
Altmetric has tracked 23,124,001 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 10,708 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 437,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.