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Selection of Cashmere Fineness Functional Genes by Translatomics

Overview of attention for article published in Frontiers in Genetics, January 2022
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1 X user

Citations

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Title
Selection of Cashmere Fineness Functional Genes by Translatomics
Published in
Frontiers in Genetics, January 2022
DOI 10.3389/fgene.2021.775499
Pubmed ID
Authors

Yu Zhang, Dongyun Zhang, Yanan Xu, Yuting Qin, Ming Gu, Weidong Cai, Zhixian Bai, Xinjiang Zhang, Rui Chen, Yingang Sun, Yanzhi Wu, Zeying Wang

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 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 %
Student > Master 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
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 04 January 2022.
All research outputs
#20,280,315
of 22,813,792 outputs
Outputs from Frontiers in Genetics
#8,587
of 11,778 outputs
Outputs of similar age
#409,445
of 499,447 outputs
Outputs of similar age from Frontiers in Genetics
#534
of 809 outputs
Altmetric has tracked 22,813,792 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 11,778 research outputs from this source. They receive a mean Attention Score of 3.7. 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 499,447 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 809 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.