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Hair follicle regional specificity in different parts of bay Mongolian horse by histology and transcriptional profiling

Overview of attention for article published in BMC Genomics, September 2020
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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8 Mendeley
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Title
Hair follicle regional specificity in different parts of bay Mongolian horse by histology and transcriptional profiling
Published in
BMC Genomics, September 2020
DOI 10.1186/s12864-020-07064-1
Pubmed ID
Authors

Ruoyang Zhao, Wu Yihan, Yiping Zhao, Bei Li, Haige Han, Togtokh Mongke, Tugeqin Bao, Wenxing Wang, Manglai Dugarjaviin, Dongyi Bai

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 13%
Student > Postgraduate 1 13%
Student > Master 1 13%
Unknown 5 63%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 5 63%
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 24 September 2020.
All research outputs
#20,648,640
of 23,243,271 outputs
Outputs from BMC Genomics
#9,341
of 10,729 outputs
Outputs of similar age
#349,777
of 408,523 outputs
Outputs of similar age from BMC Genomics
#126
of 164 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,729 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 408,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.