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A Chinese SCA36 pedigree analysis of NOP56 expansion region based on long-read sequencing

Overview of attention for article published in Frontiers in Genetics, March 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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6 Mendeley
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Title
A Chinese SCA36 pedigree analysis of NOP56 expansion region based on long-read sequencing
Published in
Frontiers in Genetics, March 2023
DOI 10.3389/fgene.2023.1110307
Pubmed ID
Authors

Jinlong Zou, Fengyu Wang, Zhenping Gong, Runrun Wang, Shuai Chen, Haohan Zhang, Ruihua Sun, Chenhao Gao, Wei Li, Junkui Shang, Jiewen Zhang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 17%
Researcher 1 17%
Other 1 17%
Unknown 3 50%
Readers by discipline Count As %
Arts and Humanities 1 17%
Medicine and Dentistry 1 17%
Engineering 1 17%
Unknown 3 50%
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 27 March 2023.
All research outputs
#20,867,287
of 23,485,204 outputs
Outputs from Frontiers in Genetics
#8,995
of 12,502 outputs
Outputs of similar age
#180,712
of 230,914 outputs
Outputs of similar age from Frontiers in Genetics
#177
of 358 outputs
Altmetric has tracked 23,485,204 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 12,502 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 230,914 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 358 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.